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.
Li Q +5 more
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Transmission-based association mapping of triglyceride levels in a longitudinal framework using quasi-likelihood. [PDF]
BMC Proc, 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 ...
Kulkarni H, Mukhopadhyay I, Ghosh S.
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Robust power and sample size calculations in quasi-likelihood models: methods and practice. [PDF]
BMC Med Res MethodolBackground Accurate power and sample size calculations are essential in study planning, yet they are often difficult to carry out for quasi-likelihood (QL) models.
Yuan S, Cochran A, Rathouz P.
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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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Statistical Inference for Periodic Self-Exciting Threshold Integer-Valued Autoregressive Processes
Entropy, 2021 This paper considers the periodic self-exciting threshold integer-valued autoregressive processes under a weaker condition in which the second moment is finite instead of the innovation distribution being given.
Congmin Liu, Jianhua Cheng, Dehui Wang
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Quasi-likelihood Estimation in Fractional Levy SPDEs from Poisson Sampling
European Journal of Mathematical Analysis, 2022 We study the quasi-likelihood estimator of the drift parameter in the stochastic partial differential equations driven by a cylindrical fractional Levy process when the process is observed at the arrival times of a Poisson process.
Jaya P. N. Bishwal
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