Zobrazeno 1 - 10
of 14
pro vyhledávání: '"62F12, 62F03"'
Publikováno v:
Journal of Multivariate Analysis (2025)
The large-sample behavior of non-degenerate multivariate $U$-statistics of arbitrary degree is investigated under the assumption that their kernel depends on parameters that can be estimated consistently. Mild regularity conditions are provided which
Externí odkaz:
http://arxiv.org/abs/2401.11272
Autor:
Sterzinger, Philipp, Kosmidis, Ioannis
Maximum likelihood estimation in logistic regression with mixed effects is known to often result in estimates on the boundary of the parameter space. Such estimates, which include infinite values for fixed effects and singular or infinite variance co
Externí odkaz:
http://arxiv.org/abs/2206.02561
Publikováno v:
Journal of Machine Learning Research, 2023
Statistical inference of directed relations given some unspecified interventions (i.e., the intervention targets are unknown) is challenging. In this article, we test hypothesized directed relations with unspecified interventions. First, we derive co
Externí odkaz:
http://arxiv.org/abs/2110.03805
Introduction: there is an ongoing debate about directional inference of two-sided hypothesis tests for which some authors argue that rejecting $\theta = \theta_0$ does not allow to conclude that $\theta > \theta_0$ or $\theta < \theta_0$ but only tha
Externí odkaz:
http://arxiv.org/abs/2103.12581
INTRODUCTION: Wald's, the likelihood ratio (LR) and Rao's score tests and their corresponding confidence intervals (CIs), are the three most common estimators of parameters of Generalized Linear Models. On finite samples, these estimators are biased.
Externí odkaz:
http://arxiv.org/abs/2103.10365
Autor:
Kosmidis, Ioannis, Firth, David
Penalization of the likelihood by Jeffreys' invariant prior, or by a positive power thereof, is shown to produce finite-valued maximum penalized likelihood estimates in a broad class of binomial generalized linear models. The class of models includes
Externí odkaz:
http://arxiv.org/abs/1812.01938
Autor:
Chen, Xiongzhi
We consider multiple testing means of many dependent Normal random variables that do not necessarily follow a joint Normal distribution. Under weak dependence, we show the uniform consistency of proportion estimators that are constructed as solutions
Externí odkaz:
http://arxiv.org/abs/1410.4275
Autor:
Philipp Sterzinger, Ioannis Kosmidis
Maximum likelihood estimation in logistic regression with mixed effects is known to often result in estimates on the boundary of the parameter space. Such estimates, which include infinite values for fixed effects and singular or infinite variance co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::621f1d278abdfac16fd17fc310af5bfa
Introduction: there is an ongoing debate about directional inference of two-sided hypothesis tests for which some authors argue that rejecting $\theta = \theta_0$ does not allow to conclude that $\theta > \theta_0$ or $\theta < \theta_0$ but only tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b352e41a691638f370744940de9eadc
http://arxiv.org/abs/2103.12581
http://arxiv.org/abs/2103.12581
INTRODUCTION: Wald's, the likelihood ratio (LR) and Rao's score tests and their corresponding confidence intervals (CIs), are the three most common estimators of parameters of Generalized Linear Models. On finite samples, these estimators are biased.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d371f48c68b8f8a8d960f5f60bf16def
http://arxiv.org/abs/2103.10365
http://arxiv.org/abs/2103.10365