<div class="raw-html-embed"><a href="https://libratech.ai/ch/?utm_source=partner&amp;utm_medium=website&amp;utm_campaign=wkch_libra_prsp_staempfli_07_2026
">Stämpfli Fachinhalte - jetzt im rechtssicheren Libra All-In-One AI Workspace verfügbar - Jetzt kostenlos testen!</a></div>

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Williams M: The PEMDAS of People

The PEMDAS of People

A paradigm-shifting textbook that teaches graduate students in economics how to use economic models to interpret data. Offering a new pedagogical paradigm, this textbook delivers a ready-made economics course covering the general concepts that unify different approaches to bringing economic models to data. Jesse Shapiro presents core ideas in quantitative economics as an abstract, cohesive whole and introduces canonical models that can be used across a wide range of applications. This course-in-a-book exposes students to stylized applications of these models that illuminate their foundations as well as recent research articles demonstrating the models’ broad applicability. <ul><li>Provides a coherent, generalized approach to making model-based inferences in empirical economics</li><li>Introduces central concepts and canonical models in quantitative economics</li><li>Features applications of modern research topics</li><li>Suits self-paced learning and classroom use alike</li></ul>

A paradigm-shifting textbook that teaches graduate students in economics how to use economic models to interpret data. Offering a new pedagogical paradigm, this textbook delivers a ready-made economics course covering the general concepts that unify different approaches to bringing economic models to data. Jesse Shapiro presents core ideas in quantitative economics as an abstract, cohesive whole and introduces canonical models that can be used across a wide range of applications. This course-in-a-book exposes students to stylized applications of these models that illuminate their foundations as well as recent research articles demonstrating the models’ broad applicability. <ul><li>Provides a coherent, generalized approach to making model-based inferences in empirical economics</li><li>Introduces central concepts and canonical models in quantitative economics</li><li>Features applications of modern research topics</li><li>Suits self-paced learning and classroom use alike</li></ul>

Introduction to Quantitative Economics

Pelican Books

'Probably the UK's greatest living statistician' Telegraph From the UK's 'statistical national treasure', a clever and data-driven guide to how we can live with risk and uncertainty We live in a world where uncertainty is inevitable. How should we deal with what we don't know? And what role do chance, luck and coincidence play in our lives? David Spiegelhalter has spent his career dissecting data in order to understand risks and assess the chances of what might happen in the future. In The Art of Uncertainty, he gives readers a window onto how we can all do this better. In engaging, crystal-clear prose, he takes us through the principles of probability, showing how it can help us think more analytically about everything from medical advice to pandemics and climate change forecasts, and explores how we can update our beliefs about the future in the face of constantly changing experience. Along the way, he explains why roughly 40% of football results come down to luck rather than talent, how the National Risk Register assesses near-term risks to the United Kingdom, and why we can be so confident that two properly shuffled packs of cards have never, ever been in the exact same order. Drawing on a wide range of captivating real-world examples, this is an essential guide to navigating uncertainty while also having the humility to admit what we do not know

How to Navigate Chance, Ignorance, Risk and Luck

The Art of Uncertainty

Brainjacking takes us on a journey through advertising and marketing's attempts to understand and influence our thoughts and desires, from the earliest billboards to the technologies of the future. To discover how science intersects with our desires and decisions, the book pulls together three strands that have a huge impact on our lives: advertising, how much privacy we can and should have in the new electronic world, and how to draw the line between information and influence. With Brian Clegg as your guide, this is a book that will help you unpick the insidious world of brainjacking. Expertly pulling together different strands on disparate topics including AI, Big Data, subliminal advertising and more, this essential investigation shows how new and old technology and science can be combined to influence human behaviour and beliefs.

The Science of Influence and Manipulation

Brainjacking

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

A groundbreaking bridge between traditional financial theories and emerging interdisciplinary approaches, offering a unique perspective on finance in these uncertain times. From a seasoned expert in finance, behavioral finance, complexity science, and quantum finance. Adaptive Finance is a forward-looking exploration of the evolving world of finance, addressing the most pressing challenges and emerging trends facing financial markets today. It examines how traditional economic and financial models, long dominant in the field, are being redefined by advancements in behavioral science, mathematics, and technology. Financial professionals and academics must confront risks and dynamics that established theories often fail to capture in an era marked by complexity, technological disruption, and global uncertainty. This book provides the intellectual foundation needed to tackle these challenges. The chapters span a wide range of topics—from behavioral finance and causal models to quantum finance and innovations in financial systems—offering a comprehensive view of the forces reshaping finance. The book begins with well-established frameworks and progressively explores cutting-edge concepts, guiding readers through the transformation of financial theory and practice. Each chapter stands on its own, making the book suitable for both comprehensive study and selective reading. The authors present a timely perspective on how finance must adapt to a more complex and dynamic world.

Embracing Uncertainty and Complexity

Adaptive Finance

From the bestselling author of House of Cards and Power Failure comes the sweeping tale of a powerful and controversial financial empire, set against the turbulent backdrop of a rapidly changing Wall Street. On March 22, 2021, Leon Black, the brilliant and fearsome billionaire founder of investment firm Apollo Global Management, resigned. For more than three decades, Apollo had epitomized the new Wall Street, pioneering both private equity and private credit by delivering staggering returns through aggressive takeovers and astute, contrarian bets.&nbsp;But its most powerful figure would eventually be undone by his own poor judgment, including a friendship and business relationship with the disgraced pedophile Jeffrey Epstein and an affair with a Russian woman intent on a shakedown. Yet the path to that reckoning began long before. When Drexel Burnham Lambert collapsed amid the junk bond crisis of the late 1980s, Apollo rose from its ashes, led by Michael Milken's protégé, a young dealmaker named Leon Black. His financial genius and relentless drive mirrored that of his father, a celebrated Wall Street businessman whose life ended in a shocking scandal and unfathomable tragedy. Black’s inherited appetite for risk propelled him to take Apollo to stratospheric heights—and ultimately to his own spectacular fall from power. With exclusive access to Apollo's big dealmakers and those who know them best, Money to Burn is a riveting saga of extreme wealth, jealous rivalries, and public disgrace. Through propulsive storytelling and meticulous reporting, William D. Cohan exposes the power struggles, betrayals, and courtroom battles that fueled Apollo's meteoric rise—and how one man's hubris and excess altered the course of a global financial powerhouse.

From the bestselling author of House of Cards and Power Failure comes the sweeping tale of a powerful and controversial financial empire, set against the turbulent backdrop of a rapidly changing Wall Street. On March 22, 2021, Leon Black, the brilliant and fearsome billionaire founder of investment firm Apollo Global Management, resigned. For more than three decades, Apollo had epitomized the new Wall Street, pioneering both private equity and private credit by delivering staggering returns through aggressive takeovers and astute, contrarian bets.&nbsp;But its most powerful figure would eventually be undone by his own poor judgment, including a friendship and business relationship with the disgraced pedophile Jeffrey Epstein and an affair with a Russian woman intent on a shakedown. Yet the path to that reckoning began long before. When Drexel Burnham Lambert collapsed amid the junk bond crisis of the late 1980s, Apollo rose from its ashes, led by Michael Milken's protégé, a young dealmaker named Leon Black. His financial genius and relentless drive mirrored that of his father, a celebrated Wall Street businessman whose life ended in a shocking scandal and unfathomable tragedy. Black’s inherited appetite for risk propelled him to take Apollo to stratospheric heights—and ultimately to his own spectacular fall from power. With exclusive access to Apollo's big dealmakers and those who know them best, Money to Burn is a riveting saga of extreme wealth, jealous rivalries, and public disgrace. Through propulsive storytelling and meticulous reporting, William D. Cohan exposes the power struggles, betrayals, and courtroom battles that fueled Apollo's meteoric rise—and how one man's hubris and excess altered the course of a global financial powerhouse.

The Unvarnished Truth About Leon Black, Apollo, and the Rise of a New Wall Street

Money to Burn

A wide-ranging analysis of how the material limits to discrete, silicon-based computing power impact employment and automation. Since the end of the Second World War, we have come to expect continual growth in computing power and the rapid development of digital technology. This dynamic has enabled informational procedures to supplant an ever-increasing range of human and mechanical activity. However, indications that the semiconductor industry is approaching the physical limits of integrated circuitry pose an existential challenge to Intel Corporation cofounder Gordon Moore’s “law,” which prescribes an exponential increase in microchip density—and, by extension, processing performance—every two years. Placing theories of employment in dialectical conjunction with the concrete operations of computing, 100% Utilization explores the consequences of pushing processing power to its limits for a culture seemingly reliant on automation as much as human labor. In accounting for this contradiction, Andrew Lison offers a corrective to theories of digital mediation emphasizing its symbolic and representational capabilities. He connects the looming end of Moore’s law to trends in semiconductor manufacturing, custom hardware, and parallelized software techniques, including AI. Ultimately, he traces this historical technological boom and impending bust through the racialized history of Silicon Valley to longer-term conceptions of the relationship between machinery and labor.

A wide-ranging analysis of how the material limits to discrete, silicon-based computing power impact employment and automation. Since the end of the Second World War, we have come to expect continual growth in computing power and the rapid development of digital technology. This dynamic has enabled informational procedures to supplant an ever-increasing range of human and mechanical activity. However, indications that the semiconductor industry is approaching the physical limits of integrated circuitry pose an existential challenge to Intel Corporation cofounder Gordon Moore’s “law,” which prescribes an exponential increase in microchip density—and, by extension, processing performance—every two years. Placing theories of employment in dialectical conjunction with the concrete operations of computing, 100% Utilization explores the consequences of pushing processing power to its limits for a culture seemingly reliant on automation as much as human labor. In accounting for this contradiction, Andrew Lison offers a corrective to theories of digital mediation emphasizing its symbolic and representational capabilities. He connects the looming end of Moore’s law to trends in semiconductor manufacturing, custom hardware, and parallelized software techniques, including AI. Ultimately, he traces this historical technological boom and impending bust through the racialized history of Silicon Valley to longer-term conceptions of the relationship between machinery and labor.

Computation and Labor After Moore's Law

100% Utilization

A comprehensive look at causality’s theoretical and practical aspects in economics and finance. In Causal Modeling for Finance and Business, Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systems. Topics include the theory of graphs, probabilistic frameworks, structural causal models, algorithms for learning causal structures, and the empirical testing of these models. The book emphasizes applying and deploying causal models in real-world business and investment scenarios. However, it also offers a novel theoretical perspective on causal modeling. Fabozzi and Focardi argue that causation is not a law of nature, but a characteristic of causal systems. If we accept the modern idea of causation as manipulability, causal systems are characterized by causal relationships as well as purely descriptive functional relationships. With these arguments in mind, the book addresses a critical gap in understanding and applying causal reasoning in complex systems. While correlations have often been relied upon in data analysis, decision-making in business and economics demands a deeper understanding of causation and functional relationships to drive actionable outcomes. The book’s objective is to provide a comprehensive resource that bridges foundational theories and practical applications of causal models. By integrating recent advancements in artificial intelligence, probabilistic logic, and graph theory, the authors offer a robust framework for researchers, practitioners, and decision-makers to harness the power of causality in solving intricate problems.

A comprehensive look at causality’s theoretical and practical aspects in economics and finance. In Causal Modeling for Finance and Business, Frank Fabozzi and Sergio Focardi offer a foundation for understanding causal relationships and their importance in complex systems. Topics include the theory of graphs, probabilistic frameworks, structural causal models, algorithms for learning causal structures, and the empirical testing of these models. The book emphasizes applying and deploying causal models in real-world business and investment scenarios. However, it also offers a novel theoretical perspective on causal modeling. Fabozzi and Focardi argue that causation is not a law of nature, but a characteristic of causal systems. If we accept the modern idea of causation as manipulability, causal systems are characterized by causal relationships as well as purely descriptive functional relationships. With these arguments in mind, the book addresses a critical gap in understanding and applying causal reasoning in complex systems. While correlations have often been relied upon in data analysis, decision-making in business and economics demands a deeper understanding of causation and functional relationships to drive actionable outcomes. The book’s objective is to provide a comprehensive resource that bridges foundational theories and practical applications of causal models. By integrating recent advancements in artificial intelligence, probabilistic logic, and graph theory, the authors offer a robust framework for researchers, practitioners, and decision-makers to harness the power of causality in solving intricate problems.

Foundations, Frameworks, and Applications

Causal Modeling for Finance and Business

A step-by-step guide to transforming data into stakeholder buy-in and decisive action Driving Buy-In, by data storytelling veteran Mico Yuk-who has trained over 20,000 data professionals at Fortune 500 companies including Shell, Nestlé, and Zoom-provides a practical guide for professionals who craft data visualizations and presentations that light a fire under decision-makers. It shows how to transform insights into real-world action. Eighty-eight percent of insights never influence a decision. This book fixes that. Yuk introduces the Buy-In Method(TM), a two-pillar system for turning information into action - grounded in behavioral science and neuroscience research. Pillar 1, the Data Storytelling Framework(TM) (Discover, Define, Design, and Deliver), turns data into a story the brain is wired to respond to. Pillar 2, the Three Signs of Influence (Clarity, Buy-In, and Action), reveals in real time whether your message is landing and exactly where stakeholders are in the decision process. Rather than focusing on technical skills or visual design, this book teaches the often-overlooked skill of reading human behavior. You'll learn: <ul> <li>How to ask the right questions that uncover the real problem - move beyond vague requests and endless scope creep to get to the truth</li> <li>How to transform the way you communicate with stakeholders or executives - translate and present technical findings so anyone can understand and act on them</li> <li>How to build stories that drive action - using the same structure behind Hollywood blockbusters</li> <li>How to read any room using the Three Signs of Influence (Clarity, Buy-In, Action) - no more guessing if stakeholders will act on your insights</li> <li>Why human influence is your competitive advantage - in the AI era, anyone can generate insights, but driving stakeholder buy-in is what makes you irreplaceable</li> </ul> This book is for professionals who present data to influence stakeholders and accelerate decisions: analysts, data scientists, BI teams, product managers, consultants, AI/ML professionals, and executives. It's an expert guide in data communication for professionals who want to know exactly what works, what doesn't, and how to design and deliver presentations that will get buy-in from the people who make decisions. Go from order-taker to decision driver.

The Science of Influence with Data

Driving Buy-In

Learn to be a better negotiator--and achieve the outcomes you want.If you read nothing else on negotiation, read this book. We've chosen a new selection of current and classic Harvard Business Review articles that will help you prepare for the conversations, identify win-wins, and secure powerful deals.This book will inspire you to: <ul><li>Control the negotiation before it begins</li><li>Rethink negotiation as a shared and equal exchange</li><li>Employ emotions--both positive and negative--to your advantage</li><li>Understand the rules for negotiating across cultures</li><li>Negotiate with confidence for a bigger role, title, or salary</li><li>Learn how to negotiate on your own behalf</li></ul>HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others.This Updated and Expanded edition features new, breakthrough articles, additional short-form pieces, and a detailed discussion guide to give you and your team the tools you need for sustained success.

HBR's 10 Must Reads on Negotiation, Updated and Expanded

The expanded version is only around 620 words, so a full 800-word cut isn't possible - but here's a tight, punchy version close to the original length:
Words That Sell: The E-Commerce Copywriter's Guide to Copy That Connects, Convinces, and Converts
In a digital marketplace where attention is shrinking and competition is multiplying, the words on your product page, email, or landing screen are doing one of two things: earning a sale or losing one. There is no neutral ground.
Words That Sell is a practical guide for e-commerce entrepreneurs, digital marketers, and copywriters who want their words to do more than fill a page. It is for the business owner whose product descriptions feel flat, the marketer whose clicks are dead despite strong open rates, and the copywriter who knows something is wrong but cannot name it. This book names it - and shows you how to fix it.
It diagnoses the most common conversion killers: vague messaging, weak value propositions, inconsistent brand voice, and a fundamental misread of where the buyer is in their decision journey. Then it goes further, teaching you how online shoppers actually think - what they need to feel, believe, and understand before they click buy, and how emotions, urgency, and perceived risk shape every decision.
At the heart of the book is a clear, repeatable framework for defining customer pain points and organizing your message by priority - leading with what matters most to the reader, not what is most impressive to the seller.
Whether you are refining a product page, building an email sequence, or overhauling a landing page, Words That Sell gives you the strategy and clarity to create copy that connects, convinces, and converts.
Want it shorter still, or adjusted in tone?

Mastering Copywriting for E-Commerce Success

Words That Sell

AI can write the code. You still need to know what it does. You’re already good at Excel. But you’re tired of the copy/paste, the helper columns, and the brittle formulas that break when someone adds a row. You want automation, and whether you write the code yourself or let AI generate it, you need to understand what’s actually running your business processes. Automate Excel with Python teaches you to build real workflows, step-by-step. You’ll read messy workbooks into pandas dataframes, filter and reshape data without helper columns, merge sources without silent VLOOKUP failures, and export polished results with formatting intact. A capstone chapter ties it together: import a multi-tab workbook, generate exception reports, and email the results—all from one script you run with a single click. You’ll learn how to: <ul><li>Read existing Excel files you already use into Python, even the messy ones</li><li>Replace daily copy/paste routines with reusable scripts</li><li>Merge and match data across sources with auditable results</li><li>Handle dates, times, and the edge cases that break formulas</li><li>Export from Python to Excel with column widths, number formats, and frozen panes intact</li><li>Build workflows that run daily without babysitting</li></ul> AI can write the code. This book makes sure you’re the one in control of it.

This practical guide will help spreadsheet pros save time and boost productivity using beginner Python tools – without having to become a programmer. Automate Excel with Python bridges the gap between Excel expertise and Python programming without forcing you to start from scratch. Unlike other programming guides, it’s specifically designed for Excel users who need more power and automation, not for professional programmers. This book focuses on enhancing your existing Excel skills rather than replacing them. You’ll learn how Python’s dataframes work like virtual spreadsheets, extending what you already know while automating repetitive tasks. You’ll be able to import and export data seamlessly between Excel and Python to integrate coding into your current workflow. Concise, practical examples throughout will get you up and running quickly. Each topic addresses real problems Excel users face, with solutions you can implement immediately. The structure is deliberately flexible. Chapters progress logically but stand independently, so you can jump to exactly what you need without reading everything that came before. This makes it perfect for solving urgent problems or learning at your own pace. You’ll apply the techniques you learn to automate reports, clean messy data, perform complex calculations, and handle large datasets that would overwhelm Excel alone—all while leveraging your existing spreadsheet knowledge.

A Practical Guide for Nonprogrammers

Automate Excel with Python

The definitive guide to transforming everyday interactions into remarkable wins, from Harvard Law, MIT, and University of Michigan's negotiation experts. What if you could walk away from every conversation with exactly what you want? At work, at home, and in our daily interactions, our lives are full of constant negotiation: <ul><li>Trying to score a promotion at work</li><li>Changing an airline flight</li><li>Even getting our spouse to take out the trash</li></ul>But, while we like to think we know how to get our way, too many of us struggle to capture what we know we deserve. In Never Settle, renowned negotiation experts Attia Qureshi and John Richardson move beyond the basic theory of persuasion to help you learn these invaluable skills to get more in every aspect of your life. Drawing from decades of experience teaching at elite institutions and incorporating insights they've culled from FBI negotiation tactics, they offer readers groundbreaking, actionable strategies to negotiate with confidence and achieve extraordinary results, no matter the circumstances. With easy-to-follow, habit-building exercises, this revolutionary guide reveals how you can build trust through reciprocity, get more through a strategic no, and craft win-win outcomes using creative problem-solving. Accessible and empowering, Never Settle equips you with the techniques you need to unlock the best deal, without settling for anything less.

Persuasion & Negotiation Skills to Get What You Want

Never Settle

The PEMDAS of People

Weitere Titel zum Thema