Implementing empirical likelihood within the causal inference framework to study causal effects of air pollution on reproductive development. [PDF]
Sharghi S +4 more
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Integration of Time-Varying Pharmacometric Modeling With Cox Regression for Time-to-Event Analysis in NONMEM. [PDF]
Lin CW, Chen PW, Doshi S, Dutta S.
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Solar Cycle Variation of the Distribution of Photospheric Magnetic Flux Features. [PDF]
Noble CN, Parnell CE, Neukirch T.
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Confirmatory Factor Analysis with Adaptive Quadrature Estimator Using Four Link Functions. [PDF]
Atalay Kabasakal K, Dilek I, Atar B.
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Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics
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Classification by likelihood accordance functions
Communications in Statistics - Simulation and Computation, 2021In this paper, we introduce the likelihood accordance function (LA function for short), which is defined to characterize the accordance of a new observation to be classified with training samples.
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On the Generalization of the Likelihood Function and the Likelihood Principle
Journal of the American Statistical Association, 1996Abstract The parametric likelihood and likelihood principle (LP) play a central role in parametric methodology and in the foundations of statistics. The main purpose of this article is to extend the concepts of likelihood and LP to general inferential aims and models covering, for example, prediction and empirical Bayes models.
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A reconfigurable architecture for the Phylogenetic Likelihood Function
2009 International Conference on Field Programmable Logic and Applications, 2009As FPGA devices become larger, more coarse-grain modules coupled with large scale reconfigurable fabric become available, thus enabling new classes of applications to run efficiently, as compared to a general-purpose computer. This paper presents an architecture that benefits from the large number of DSP modules in Xilinx technology to implement ...
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A genotype likelihood function for DNA mixtures
Forensic Science International: Genetics, 2022The recent advent of genetic genealogy has brought about a renewed interest in genome-scale forensic analyses, of which kinship estimation is a critical component. Most genomic kinship estimators consider SNPs (single nucleotide polymorphisms), often leveraging the co-inheritance of shared alleles to inform their analyses.
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Annals of the Institute of Statistical Mathematics, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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