東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Partitions, hpergeometric sstems, an...

Mano, Shuhei.

FindBook

Google Book

Amazon

博客來

Partitions, hpergeometric sstems, and drichlet processes in statistics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Partitions, hpergeometric sstems, and drichlet processes in statistics/ by Shuhei Mano.
作者:	Mano, Shuhei.
出版者:	Tokyo :Springer Japan : : 2018.,
面頁冊數:	viii, 135 p. :digital ;24 cm.
內容註:	Chapter 1. Introduction -- Chapter 2. Random combinatorial models -- Chapter 3. Statistical inferences -- Chapter 4. Examples.
Contained By:	Springer eBooks
標題:	Mathematical statistics. -
電子資源:	http://dx.doi.org/10.1007/978-4-431-55888-0
ISBN:	9784431558880

Partitions, hpergeometric sstems, and drichlet processes in statistics
Mano, Shuhei.

Partitions, hpergeometric sstems, and drichlet processes in statistics[electronic resource] /by Shuhei Mano. - Tokyo :Springer Japan :2018. - viii, 135 p. :digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..

Chapter 1. Introduction -- Chapter 2. Random combinatorial models -- Chapter 3. Statistical inferences -- Chapter 4. Examples.

This book focuses on statistical inferences related to various combinatorial stochastic processes. Specifically, it discusses the intersection of three subjects that are generally studied independently of each other: partitions, hypergeometric systems, and Dirichlet processes. The Gibbs partition is a family of measures on integer partition, and several prior processes, such as the Dirichlet process, naturally appear in connection with infinite exchangeable Gibbs partitions. Examples include the distribution on a contingency table with fixed marginal sums and the conditional distribution of Gibbs partition given the length. The A-hypergeometric distribution is a class of discrete exponential families and appears as the conditional distribution of a multinomial sample from log-affine models. The normalizing constant is the A-hypergeometric polynomial, which is a solution of a system of linear differential equations of multiple variables determined by a matrix A, called A-hypergeometric system. The book presents inference methods based on the algebraic nature of the A-hypergeometric system, and introduces the holonomic gradient methods, which numerically solve holonomic systems without combinatorial enumeration, to compute the normalizing constant. Furher, it discusses Markov chain Monte Carlo and direct samplers from A-hypergeometric distribution, as well as the maximum likelihood estimation of the A-hypergeometric distribution of two-row matrix using properties of polytopes and information geometry. The topics discussed are simple problems, but the interdisciplinary approach of this book appeals to a wide audience with an interest in statistical inference on combinatorial stochastic processes, including statisticians who are developing statistical theories and methodologies, mathematicians wanting to discover applications of their theoretical results, and researchers working in various fields of data sciences.

ISBN: 9784431558880

Standard No.: 10.1007/978-4-431-55888-0doiSubjects--Topical Terms:

516858
Mathematical statistics.

LC Class. No.: QA276 / .M366 2018

Dewey Class. No.: 519.5

Partitions, hpergeometric sstems, and drichlet processes in statistics
LDR:03077nmm a2200325 a 4500 001 2152510
003 DE-He213
005 20190129162255.0
006 m d
007 cr nn 008maaau
008 190403s2018 ja s 0 eng d
020 $a 9784431558880 $q (electronic bk.)
020 $a 9784431558866 $q (paper)
024 7 $a 10.1007/978-4-431-55888-0 $2 doi
035 $a 978-4-431-55888-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276 $b .M366 2018
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
082 0 4 $a 519.5 $2 23
090 $a QA276 $b .M285 2018
100 1 $a Mano, Shuhei. $3 3338894
245 1 0 $a Partitions, hpergeometric sstems, and drichlet processes in statistics $h [electronic resource] / $c by Shuhei Mano.
260 $a Tokyo : $b Springer Japan : $b Imprint: Springer, $c 2018.
300 $a viii, 135 p. : $b digital ; $c 24 cm.
490 1 $a SpringerBriefs in statistics, $x 2191-544X
505 0 $a Chapter 1. Introduction -- Chapter 2. Random combinatorial models -- Chapter 3. Statistical inferences -- Chapter 4. Examples.
520 $a This book focuses on statistical inferences related to various combinatorial stochastic processes. Specifically, it discusses the intersection of three subjects that are generally studied independently of each other: partitions, hypergeometric systems, and Dirichlet processes. The Gibbs partition is a family of measures on integer partition, and several prior processes, such as the Dirichlet process, naturally appear in connection with infinite exchangeable Gibbs partitions. Examples include the distribution on a contingency table with fixed marginal sums and the conditional distribution of Gibbs partition given the length. The A-hypergeometric distribution is a class of discrete exponential families and appears as the conditional distribution of a multinomial sample from log-affine models. The normalizing constant is the A-hypergeometric polynomial, which is a solution of a system of linear differential equations of multiple variables determined by a matrix A, called A-hypergeometric system. The book presents inference methods based on the algebraic nature of the A-hypergeometric system, and introduces the holonomic gradient methods, which numerically solve holonomic systems without combinatorial enumeration, to compute the normalizing constant. Furher, it discusses Markov chain Monte Carlo and direct samplers from A-hypergeometric distribution, as well as the maximum likelihood estimation of the A-hypergeometric distribution of two-row matrix using properties of polytopes and information geometry. The topics discussed are simple problems, but the interdisciplinary approach of this book appeals to a wide audience with an interest in statistical inference on combinatorial stochastic processes, including statisticians who are developing statistical theories and methodologies, mathematicians wanting to discover applications of their theoretical results, and researchers working in various fields of data sciences.
650 0 $a Mathematical statistics. $3 516858
650 0 $a Partitions (Mathematics) $3 709302
650 0 $a Hypergeometric functions. $3 661950
650 0 $a Dirichlet forms. $3 661784
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in statistics. $3 1565658
856 4 0 $u http://dx.doi.org/10.1007/978-4-431-55888-0
950 $a Mathematics and Statistics (Springer-11649)