Results 11 to 20 of about 57,825 (288)
Quasi-likelihood for Spatial Point Processes. [PDF]
J R Stat Soc Series B Stat Methodol, 2015 SummaryFitting regression models for intensity functions of spatial point processes is of great interest in ecological and epidemiological studies of association between spatially referenced events and geographical or environmental covariates. When Cox or cluster process models are used to accommodate clustering that is not accounted for by the ...
Guan Y, Jalilian A, Waagepetersen R.
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lncDIFF: a novel quasi-likelihood method for differential expression analysis of non-coding RNA [PDF]
BMC Genomics, 2019 Background Long non-coding RNA (lncRNA) expression data have been increasingly used in finding diagnostic and prognostic biomarkers in cancer studies.
Qian Li +5 more
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Transmission-based association mapping of triglyceride levels in a longitudinal framework using quasi-likelihood [PDF]
BMC Proceedings, 2018 Complex genetic traits are often characterized by multiple quantitative phenotypes. Because values of such phenotypes vary over time, it is thought that analyses of longitudinal data on the phenotypes may lead to increased power in detecting genetic ...
Hemant Kulkarni +2 more
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Bradley-Terry Models in R: The BradleyTerry2 Package [PDF]
Journal of Statistical Software, 2012 This is a short overview of the R add-on package BradleyTerry2, which facilitates the specification and fitting of Bradley-Terry logit, probit or cauchit models to pair-comparison data.
Heather Turner, David Firth
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Penalized Composite Quasi-Likelihood for Ultrahigh-Dimensional Variable Selection. [PDF]
J R Stat Soc Series B Stat Methodol, 2011 In high-dimensional model selection problems, penalized simple least-square approaches have been extensively used. This paper addresses the question of both robustness and efficiency of penalized model selection methods, and proposes a data-driven ...
Bradic J, Fan J, Wang W.
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Mathematics, 2022 We study the non-parametric estimation of partially linear generalized single-index functional models, where the systematic component of the model has a flexible functional semi-parametric form with a general link function.
Mohamed Alahiane +3 more
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Partially Linear Generalized Single Index Models for Functional Data (PLGSIMF)
Stats, 2021 Single-index models are potentially important tools for multivariate non-parametric regression analysis. They generalize linear regression models by replacing the linear combination α0⊤X with a non-parametric component η0α0⊤X, where η0(·) is an unknown ...
Mohamed Alahiane +3 more
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PENGGUNAAN MODEL REGRESI QUASI LIKELIHOOD UNTUK MENGATASI MASALAH OVERDISPERSI PADA REGRESI POISSON
Jurnal Diferensial, 2022 Salah satu masalah utama dalam menganalisis data menggunakan model regresi poisson adalah overdispersi. Kehadiran kondisi ini dalam model menyebabkan estimasi koefisien regresi yang diperoleh cenderung menyimpang dari nilai parameter sebenarnya.
Robertus Dole Guntur +3 more
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Stochastic loss reserving using individual information model with over-dispersed Poisson
Statistical Theory and Related Fields, 2022 For stochastic loss reserving, we propose an individual information model (IIM) which accommodates not only individual/micro data consisting of incurring times, reporting developments, settlement developments as well as payments of individual claims but ...
Zhigao Wang, Xianyi Wu, Chunjuan Qiu
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Parallel Implementation of GPU-Based LDPC Enhanced Quasi-Maximum Likelihood Decoder [PDF]
Jisuanji gongcheng, 2020 The Enhanced Quasi-Maximum Likelihood(EQML) decoder has better decoding performance for short Low Density Parity Check(LDPC) codes than traditional Belief Propagation(BP) decoder,and can meet the high reliability requirements of 5G mobile communication ...
KONG Feiyue, JIANG Xueqin, WAN Xuefen, CHEN Sijing, CUI Jian, YANG Yi
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