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Elements of Causal Inference: Foundations and Learning...

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Computers - Computer Science
Elements of Causal Inference:...

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters, Dominik Janzing, Bernhard Schölkopf

5.0 / 5.0

როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

კატეგორია:

Computers - Computer Science

წელი:

2017

გამომცემლობა:

The MIT Press

ენა:

english

გვერდები:

289

ISBN 10:

0262037319

ISBN 13:

9780262037310

სერია:

Adaptive Computation and Machine Learning series

ფაილი:

PDF, 20.96 MB

IPFS:

,

english, 2017

ონლაინ წაკითხვა

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

Miguel A. Hernán, James M. Robins — Causal Inference: What If

Judea Pearl — An Introduction to Causal Inference

Hernán M. A., Robins J. M. — Causal inference

Hernan M.A., Robins J.M. — Cause and correlation in biology : a user's guide to path analysis, structural equations and causal inference

Willam D. Berry — 因果关系模型

Alison Gopnik, Laura Schulz — Causal Learning - Psychology, Philosophy and Computation

Sergios Theodoridis — Machine Learning: A Bayesian and Optimization Perspective

Tyler VanderWeele — Explanation in Causal Inference: Methods for Mediation and Interaction

Richard J. Murnane, John B. Willett — Methods Matter: Improving Causal Inference in Educational and Social Science Research

Suvrit Sra, Sebastian Nowozin, Stephen J. Wright — Optimization for Machine Learning (Neural Information Processing series)

Mykel J. Kochenderfer et al. — Decision Making Under Uncertainty: Theory and Application

Joseph Y. Halpern — Actual Causality

Panos Louridas — Real-World Algorithms: A Beginner’s Guide

Peter Spirtes, Clark Glymour, Richard Scheines — Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning)

Paul R. Rosenbaum — Causal Inference

Scott Cunningham — Causal Inference

Mariusz Maziarz — The Philosophy of Causality in Economics: Causal Inferences and Policy Proposals

Babette A. Brumback, Babette A. — Fundamentals of Causal Inference with R

Momiao Xiong — Artificial Intelligence and Causal Inference

Finn B. Jensen, Thomas D. Nielsen — Bayesian networks and decision graphs

William R. Shadish, Thomas D. Cook, Donald Thomas Campbell — Experimental and Quasi-Experimental Designs for Generalized Causal Inference

Pearl, Judea, Mackenzie, Dana — The Book of Why: The New Science of Cause and Effect

Andrew Gelman, Xiao-Li Meng — Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives (Wiley Series in Probability and Statistics)

Vladimir N. Vapnik — Statistical Learning Theory

Mario Bunge — Causality and Modern Science: Third Revised Edition

Stephen L. Morgan, Christopher Winship — Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)

David A. Freedman; David Collier, Jasjeet S. Sekhon, Philip B. Stark (Editors) — Statistical Models and Causal Inference: A Dialogue with the Social Sciences

Jean-Daniel Boissonnat, Mariette Yvinec, Herve Bronniman — Algorithmic Geometry

Judea Pearl — Causality: Models, Reasoning, and Inference, 1e

Guido W. Imbens, Donald B. Rubin — Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Judea Pearl — Causality: Models, Reasoning and Inference

Paul R. Rosenbaum — Observation and Experiment: An Introduction to Causal Inference

Joshua D. Angrist, Jorn-Steffen Pischke — Mostly Harmless Econometrics

Joshua D. Angrist; Jörn-Steffen Pischke — Mostly Harmless Econometrics: An Empiricist’s Companion

James V. Stone — Information Theory: A Tutorial Introduction

NICK. HUNTINGTON-KLEIN — The Effect: An Introduction to Research Design and Causality

Matheus Facure — Causal Inference in Python: Applying Causal Inference in the Tech Industry (Fourth Early Release)

Samantha Kleinberg — Causality, Probability, and Time

Stephen Morgan, Christopher Winship — Counterfactuals and Causal Inference: Methods and Principles for Social Research

Bradley Efron, Trevor Hastie — Computer Age Statistical Inference: Algorithms, Evidence, and Data Science

Judea Pearl — Causal Inference in Statistics

Silvia Bacci, Bruno Chiandotto — Introduction To Statistical Decision Theory: Utility Theory And Causal Analysis

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