--- product_id: 401131634 title: "Causality" price: "P4593" currency: BWP in_stock: true reviews_count: 5 url: https://botswana.desertcart.com/products/401131634-causality store_origin: BW region: Botswana --- # Causality **Price:** P4593 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Causality - **How much does it cost?** P4593 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [botswana.desertcart.com](https://botswana.desertcart.com/products/401131634-causality) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. Cited in more than 2,100 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interest to students and professionals in a wide variety of fields. Dr Judea Pearl has received the 2011 Rumelhart Prize for his leading research in Artificial Intelligence (AI) and systems from The Cognitive Science Society. Review: A must-have - This is a well-known text, and a fundamental resource for anyone with an interest in causal inference. Review: Great book - Excellent text, very clearly written ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #387,398 in Books ( See Top 100 in Books ) #134 in Epistemology (Books) #1,115 in Artificial Intelligence #1,457 in Sociology (Books) | | Customer Reviews | 4.4 out of 5 stars 180 Reviews | ## Images ![Causality - Image 1](https://m.media-amazon.com/images/I/61u9T81830L.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ A must-have *by N***S on 25 April 2024* This is a well-known text, and a fundamental resource for anyone with an interest in causal inference. ### ⭐⭐⭐⭐⭐ Great book *by A***R on 7 November 2020* Excellent text, very clearly written ### ⭐⭐⭐⭐⭐ Formal Representation of Causal Analysis, from THE Source *by A***D on 18 November 2012* For most researchers in the ever growing fields of probabilistic graphical models, belief networks, causal influence and probabilistic inference, ACM Turing award winner Dr. Pearl and his seminary papers on causality are well-known and acknowledged. Representation and determination of Causality, the relationship between an event (the cause) and a second event (the effect), where the second event is understood as a consequence of the first, is a challenging problem. Over the years, Dr. pearl has written significantly on both Art and Science of Cause and Effect. In this book on "Causality: Models, Reasoning and Inference", the inventor of Bayesian belief networks discusses and elaborates on his earlier workings including but not limited to Reasoning with Cause and Effect, Causal inference in statistics, Simpson's paradox, Causal Diagrams for Empirical Research, Robustness of Causal Claims, Causes and explanations, and Probabilities of causation Bounds and identification. In these eleven chapters followed by an epilogue, Dr. Pearl's manuscript postulates representational and computational foundation for the processing of information under uncertainty. It commences with introduction of simpler concepts in Bayesian inference, causality and corresponding proves. However, as text progresses into causal vs. statistical concepts along with theory of inferred causation, the theorems get arduous, somewhat counter-intuitive and the text becomes demanding to keep up. Chapter 3 is an interesting read where causality is discussed in context of philosophy and history. As Dr. Liu states, Judea Pearl's thesis regarding statistics that it deals with quantitative constructs like mean, variance, correlation, regression, dependence, conditional independence, association, likelihood, collapsibility, risk ratio, odd ratio, marginalization, conditionalization, etc. Meanwhile the causal analysis deals with the topics of randomization, influence, effect, confounding, disturbance, correlation, intervention, explanation and attribution. One of the challenges while following Dr. Pearl's work is that it abstracts causation discussing it in mathematical and philosophical manner without providing concrete mathematical and computational model for applied research. I believe the book provides great foundation for formal representation of causal analysis and its components, such as do(x) to represent intervention. Automated Reasoning Group at UCLA has made some strides in this area however the applied research aspects of this formalism still needs to be `tightly bound' by reason of scarcity of empirical evidence for the algorithms in practice. ## Frequently Bought Together - Causality: Models, Reasoning and Inference - Causal Inference in Statistics - A Primer - Book of Why --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://botswana.desertcart.com/products/401131634-causality](https://botswana.desertcart.com/products/401131634-causality) --- *Product available on Desertcart Botswana* *Store origin: BW* *Last updated: 2026-08-28*