Computation, Causation, and Discovery

Computation, Causation, and Discovery
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : 0262315823
ISBN-13 : 9780262315821
Rating : 4/5 (821 Downloads)

Book Synopsis Computation, Causation, and Discovery by : Clark N. Glymour

Download or read book Computation, Causation, and Discovery written by Clark N. Glymour and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Computation, Causation, and Discovery Related Books

Computation, Causation, and Discovery
Language: en
Pages:
Authors: Clark N. Glymour
Categories: Causation
Type: BOOK - Published: 1999 - Publisher:

GET EBOOK

Causation, Prediction, and Search
Language: en
Pages: 551
Authors: Peter Spirtes
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

GET EBOOK

This book is intended for anyone, regardless of discipline, who is interested in the use of statistical methods to help obtain scientific explanations or to pre
Computation, Causation, and Discovery
Language: en
Pages: 576
Authors: Clark N. Glymour
Categories: Business & Economics
Type: BOOK - Published: 1999 - Publisher:

GET EBOOK

In science, business, and policymaking -- anywhere data are used in prediction -- two sorts of problems requiring very different methods of analysis often arise
Innovations in Machine Learning
Language: en
Pages: 285
Authors: Dawn E. Holmes
Categories: Computers
Type: BOOK - Published: 2006-03-09 - Publisher: Springer Science & Business Media

GET EBOOK

Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contribut
An Introduction to Causal Inference
Language: en
Pages: 0
Authors: Judea Pearl
Categories: Causation
Type: BOOK - Published: 2015 - Publisher: Createspace Independent Publishing Platform

GET EBOOK

This paper summarizes recent advances in causal inference and underscores the paradigmatic shifts that must be undertaken in moving from traditional statistical