Causality: Models, Reasoning, and Inference

Portada
Cambridge University Press, 13 mar 2000 - 384 páginas
Written by one of the pre-eminent 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, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.
 

Comentarios de usuarios - Escribir una reseña

No hemos encontrado ninguna reseña en los sitios habituales.

Índice

II
1
III
2
IV
6
V
8
VI
11
VII
12
VIII
13
IX
16
LXXXVI
173
LXXXVII
174
LXXXIX
175
XC
177
XCI
180
XCII
182
XCIV
184
XCV
185

X
20
XI
21
XII
22
XIII
24
XIV
26
XV
27
XVI
30
XVII
32
XVIII
33
XIX
38
XX
41
XXI
42
XXII
43
XXIII
45
XXIV
48
XXV
49
XXVI
51
XXVII
54
XXVIII
57
XXIX
59
XXX
61
XXXI
65
XXXII
66
XXXIII
68
XXXIV
70
XXXV
72
XXXVI
77
XXXVII
78
XXXVIII
79
XXXIX
81
XL
83
XLI
85
XLIII
86
XLIV
88
XLV
89
XLVI
91
XLVII
93
XLVIII
94
XLIX
96
L
98
LI
102
LII
107
LIII
108
LV
110
LVI
112
LVII
113
LVIII
114
LIX
116
LX
117
LXI
118
LXIV
120
LXV
121
LXVI
124
LXVII
126
LXVIII
127
LXIX
128
LXX
130
LXXI
133
LXXII
134
LXXIII
135
LXXIV
138
LXXV
140
LXXVI
144
LXXVII
145
LXXVIII
149
LXXIX
154
LXXX
157
LXXXI
159
LXXXIII
163
LXXXIV
165
LXXXV
170
XCVI
186
XCVII
188
XCVIII
189
XCIX
191
C
192
CI
193
CII
194
CIII
196
CIV
199
CV
201
CVI
202
CVIII
207
CIX
212
CX
213
CXI
215
CXII
217
CXIII
221
CXIV
223
CXV
226
CXVI
228
CXVIII
231
CXIX
234
CXX
238
CXXI
240
CXXII
242
CXXIII
243
CXXIV
245
CXXV
249
CXXVI
250
CXXVII
252
CXXVIII
253
CXXIX
256
CXXX
259
CXXXI
261
CXXXII
262
CXXXIII
263
CXXXIV
266
CXXXV
268
CXXXVI
269
CXXXVII
270
CXXXVIII
271
CXXXIX
274
CXL
275
CXLII
277
CXLIII
280
CXLIV
281
CXLV
283
CXLVI
286
CXLVIII
289
CXLIX
291
CL
293
CLI
296
CLII
297
CLIII
299
CLIV
302
CLV
307
CLVI
309
CLVII
311
CLVIII
313
CLIX
316
CLX
318
CLXI
320
CLXII
322
CLXIII
324
CLXIV
325
CLXV
327
CLXVI
331
CLXVII
359
CLXVIII
375
CLXIX
379
Página de créditos

Otras ediciones - Ver todo

Términos y frases comunes

Pasajes populares

Página 363 - M. Goldszmidt and J. Pearl. Rank-based systems: a simple approach to belief revision, belief update, and reasoning about evidence and actions.

Información bibliográfica