Add to ORKGA REDUCE v 3.36 package written by Ruggero Bellio and Alessandra R. Brazzale that implements approximate conditional inference for several parametric models. The code is described in Bellio and Brazzale (2001) "A computer algebra package for approximate conditional inference" (Statistics and Computing, 11, 17-24)
The field of algebraic statistics arose from the realization that problems in statistics can often b...
An R package bundle for higher-order asymptotic inference written by Alessandra R. Brazzale with the...
The conceptual and methodological framework that underpins approximate Bayesian computation (ABC) is...
A REDUCE v 3.36 package written by Ruggero Bellio and Alessandra R. Brazzale that implements approxi...
This paper presents a set of REDUCE procedures that make a number of existing higher-order asymptoti...
This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic r...
This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic r...
The extension of exact conditional inference to include so-called approximate conditional methods ha...
The extension of exact conditional inference to include so-called approximate conditional methods ha...
Recently developed small-sample asymptotics provide nearly exact inference for parametric statistica...
Recently developed small-sample asymptotics provide nearly exact inference for parametric statistica...
Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesi...
学位の種別: 課程博士審査委員会委員 : (主査)東京大学教授 竹村 彰通, 東京大学教授 駒木 文保 東京大学教授 山西 健司, 東京大学准教授 平井 広志, 統計数理研究所教授 栗木
The famous p* formula provides a higher-order approximation for the conditional distribution of the ...
constitutes a class of computational methods rooted in Bayesian statistics. In all model-based stati...
The field of algebraic statistics arose from the realization that problems in statistics can often b...
An R package bundle for higher-order asymptotic inference written by Alessandra R. Brazzale with the...
The conceptual and methodological framework that underpins approximate Bayesian computation (ABC) is...
A REDUCE v 3.36 package written by Ruggero Bellio and Alessandra R. Brazzale that implements approxi...
This paper presents a set of REDUCE procedures that make a number of existing higher-order asymptoti...
This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic r...
This paper presents a set of REDUCE procedures making a number of existing higher-order asymptotic r...
The extension of exact conditional inference to include so-called approximate conditional methods ha...
The extension of exact conditional inference to include so-called approximate conditional methods ha...
Recently developed small-sample asymptotics provide nearly exact inference for parametric statistica...
Recently developed small-sample asymptotics provide nearly exact inference for parametric statistica...
Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesi...
学位の種別: 課程博士審査委員会委員 : (主査)東京大学教授 竹村 彰通, 東京大学教授 駒木 文保 東京大学教授 山西 健司, 東京大学准教授 平井 広志, 統計数理研究所教授 栗木
The famous p* formula provides a higher-order approximation for the conditional distribution of the ...
constitutes a class of computational methods rooted in Bayesian statistics. In all model-based stati...
The field of algebraic statistics arose from the realization that problems in statistics can often b...
An R package bundle for higher-order asymptotic inference written by Alessandra R. Brazzale with the...
The conceptual and methodological framework that underpins approximate Bayesian computation (ABC) is...