大骂
发表于 2025-3-28 17:20:05
http://reply.papertrans.cn/83/8237/823673/823673_41.png
Creatinine-Test
发表于 2025-3-28 20:44:58
http://reply.papertrans.cn/83/8237/823673/823673_42.png
GRAVE
发表于 2025-3-29 01:15:37
http://reply.papertrans.cn/83/8237/823673/823673_43.png
ALT
发表于 2025-3-29 04:35:48
Rainer Brück,Elmar Migashas an exponential representation where the dimension of the canonical statistic is ?nite and independent of time. This de?nition not only covers manypracticallyimportantstochasticprocessmodels,italsogivesrisetoa rather rich theory. This book aims at showing both aspects of exponential families of s
ascend
发表于 2025-3-29 10:24:22
W. Meier with only a basic background in statistics can use the bookExponential families of stochastic processes are parametric stochastic p- cess models for which the likelihood function exists at all ?nite times and has an exponential representation where the dimension of the canonical statistic is ?nite
歪曲道理
发表于 2025-3-29 14:54:00
U. Röttcher,J. Fritz,F. Krohm,G. Hesshas an exponential representation where the dimension of the canonical statistic is ?nite and independent of time. This de?nition not only covers manypracticallyimportantstochasticprocessmodels,italsogivesrisetoa rather rich theory. This book aims at showing both aspects of exponential families of s
ascend
发表于 2025-3-29 18:47:18
Christian Wolters with only a basic background in statistics can use the bookExponential families of stochastic processes are parametric stochastic p- cess models for which the likelihood function exists at all ?nite times and has an exponential representation where the dimension of the canonical statistic is ?nite
魅力
发表于 2025-3-29 20:54:05
N. Wehn,M. Glesner,A. Kister,S. Kastner with only a basic background in statistics can use the bookExponential families of stochastic processes are parametric stochastic p- cess models for which the likelihood function exists at all ?nite times and has an exponential representation where the dimension of the canonical statistic is ?nite
爵士乐
发表于 2025-3-30 03:57:24
Michael Mayhas an exponential representation where the dimension of the canonical statistic is ?nite and independent of time. This de?nition not only covers manypracticallyimportantstochasticprocessmodels,italsogivesrisetoa rather rich theory. This book aims at showing both aspects of exponential families of s
Limited
发表于 2025-3-30 06:37:53
Peter V. Kraus,Dieter A. Mlynski,Chong Min Kyung with only a basic background in statistics can use the bookExponential families of stochastic processes are parametric stochastic p- cess models for which the likelihood function exists at all ?nite times and has an exponential representation where the dimension of the canonical statistic is ?nite