Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Bruce G. Lindsay"'
Publikováno v:
Statistica Sinica.
Publikováno v:
Biometrics
In biomedical studies, parametric mixture models are widely used for modeling data collected from a non-homogenous population. For instance, in genetic linkage analysis, parametric admixture models have been considered to account for the fact that li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5e39235874f5ddb3229a01f7683df03
https://hdl.handle.net/10453/147728
https://hdl.handle.net/10453/147728
Publikováno v:
Biometrika. 105:225-232
Summary Composite likelihood has been widely used in applications. The asymptotic distribution of the composite likelihood ratio statistic at the boundary of the parameter space is a complicated mixture of weighted $\chi^2$ distributions. In this pap
Publikováno v:
Handbook of Mixture Analysis ISBN: 9780429055911
Handbook of Mixture Analysis
Handbook of Mixture Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10f1e58fc562d7dea99472a7ba8a8c5e
https://doi.org/10.1201/9780429055911-3
https://doi.org/10.1201/9780429055911-3
Building upon recent research on the applications of the density information matrix, we develop a tool for sufficient dimension reduction (SDR) in regression problems called covariate information m...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c5a0f77a98de423ceae4da22de86ae3
http://hdl.handle.net/11382/527353
http://hdl.handle.net/11382/527353
Autor:
Bruce G. Lindsay, Michael Stewart
Publikováno v:
The New Palgrave Dictionary of Economics ISBN: 9781349951215
Microeconometrics ISBN: 9780230238817
Microeconometrics ISBN: 9780230238817
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12eb27f3984ac0c63010b10fec949bf8
https://doi.org/10.1057/978-1-349-95189-5_2015
https://doi.org/10.1057/978-1-349-95189-5_2015
Autor:
Bruce G. Lindsay, Qing Wang
Publikováno v:
Computational Statistics & Data Analysis. 89:51-71
Cross-validation methodologies have been widely used as a means of selecting tuning parameters in nonparametric statistical problems. In this paper we focus on a new method for improving the reliability of cross-validation. We implement this method i
Autor:
Yeojin Chung, Bruce G. Lindsay
Publikováno v:
Statistics & Probability Letters. 96:190-195
Beyond the expectation–maximization (EM) algorithm for vector parameters, the EM for an unknown distribution function is often used in mixture models, density estimation, and signal recovery problems. We prove the convergence of the EM in functiona
We consider a discrete latent variable model for two-way data arrays, which allows one to simultaneously produce clusters along one of the data dimensions (e.g., exchangeable observational units or features) and contiguous groups, or segments, along
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2907e1b609f0d08f0fb5a1e3a5ca86ce
http://hdl.handle.net/11382/513174
http://hdl.handle.net/11382/513174
Autor:
Daeyoung Kim, Bruce G. Lindsay
Publikováno v:
Annals of the Institute of Statistical Mathematics. 67:745-772
Although the parameters in a finite mixture model are unidentifiable, there is a form of local identifiability guaranteeing the existence of the identifiable parameter regions. To verify its existence, practitioners use the Fisher information on the