Results 21 to 30 of about 229,863 (257)

Hybrid combinations of parametric and empirical likelihoods [PDF]

Statistica Sinica, 2018
This paper develops a hybrid likelihood (HL) method based on a compromise between parametric and nonparametric likelihoods. Consider the setting of a parametric model for the distribution of an observation $Y$ with parameter $θ$. Suppose there is also an estimating function $m(\cdot,μ)$ identifying another parameter $μ$ via $E\,m(Y,μ)=0$, at the outset
Hjort, Nils Lid, McKeague, Ian W., Van Keilegom, Ingrid   +2 more
openaire   +4 more sources

Empirical Likelihood for Contextual Bandits

CoRR, 2019
Accepted at NeurIPS ...
Nikos Karampatziakis, John Langford 0001, Paul Mineiro   +2 more
openaire   +3 more sources

Weighted Graph-Based Two-Sample Test via Empirical Likelihood

Mathematics
In network data analysis, one of the important problems is determining if two collections of networks are drawn from the same distribution. This problem can be modeled in the framework of two-sample hypothesis testing.
Xiaofeng Zhao, Mingao Yuan
doaj   +1 more source

melt: Multiple Empirical Likelihood Tests in R

Journal of Statistical Software
Empirical likelihood enables a nonparametric, likelihood-driven style of inference without relying on assumptions frequently made in parametric models.
Eunseop Kim, Steven N. MacEachern, Mario Peruggia   +2 more
doaj   +1 more source

Is Benford’s Law a Universal Behavioral Theory?

Econometrics, 2015
In this paper, we consider the question and present evidence as to whether or not Benford’s exponential first significant digit (FSD) law reflects a fundamental principle behind the complex and nondeterministic nature of large-scale physical and ...
Sofia B. Villas-Boas, Qiuzi Fu, George Judge   +2 more
doaj   +1 more source

Testing for Serial Correlation in Autoregressive Exogenous Models with Possible GARCH Errors

Entropy, 2022
Autoregressive exogenous, hereafter ARX, models are widely adopted in time series-related domains as they can be regarded as the combination of an autoregressive process and a predictive regression.
Hanqing Li, Xiaohui Liu, Yuting Chen, Yawen Fan   +3 more
doaj   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier, Mark Zobeck, Adam J. Esbenshade, Christopher C. Dvorak, Lillian Sung, David Freyer, Sarah Alexander, Etan Orgel, Nicole J. Ullrich, Zach Prudowsky, Brian Fisher, Caitlin W. Elgarten   +11 more
wiley   +1 more source

Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model

Open Mathematics, 2019
In this paper, we investigate a partially single-index varying-coefficient model, and suggest two empirical log-likelihood ratio statistics for the unknown parameters in the model.
Xiang Xing, Liu Wanrong
doaj   +1 more source

Weighted empirical likelihood inference [PDF]

Statistics & Probability Letters, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source