Results 31 to 40 of about 175,146 (298)

The New Approach to the Synthesis of Single-Channel Consistent Estimates of the Time Signal Parameters

MATEC Web of Conferences, 2016
Based on the introduced modification of a maximum likelihood method we suggest the new technique for synthesis of single-channel quasi-optimal processing algorithms of signals with multiple unknown parameters.
Chernoyarov Oleg V., Kutoyants Yury A., Shakhtarin Boris I.   +2 more
doaj   +1 more source

Statistical inference for a quasi birth–death model of RNA transcription

BMC Bioinformatics, 2022
Background A birth–death process of which the births follow a hypoexponential distribution with L phases and are controlled by an on/off mechanism, is a population process which we call the on/off-seq-L process. It is a suitable model for the dynamics of
Mathisca de Gunst, Michel Mandjes, Birgit Sollie   +2 more
doaj   +1 more source

Pranav Quasi Gamma Distribution: Properties and Applications

Journal of Statistical Theory and Applications (JSTA), 2020
We have developed Pranav Quasi Gamma Distribution (PQGD) as a mixture of Pranav distribution (θ) and Quasi Gamma distribution (2,θ). We obtained various necessary statistical characteristics of PQGD.
Sameer Ahmad Wani, Anwar Hassan, Shaista Shafi, Sumeera Shafi   +3 more
doaj   +1 more source

Variance reduction for generalized likelihood ratio method by conditional Monte Carlo and randomized Quasi-Monte Carlo methods

Journal of Management Science and Engineering, 2022
The generalized likelihood ratio (GLR) method is a recently introduced gradient estimation method for handling discontinuities in a wide range of sample performances.
Yijie Peng, Michael C. Fu, Jiaqiao Hu, Pierre L’Ecuyer, Bruno Tuffin   +4 more
doaj   +1 more source

Classical and Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution

Journal of Probability and Statistics, 2016
Nakagami distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the scale parameter of Nakagami distribution by using Jeffreys’, Extension of Jeffreys’, and
Kaisar Ahmad, S. P. Ahmad, A. Ahmed
doaj   +1 more source

A Novel Unconstrained Geometric BINAR(1) Model

Engineering Proceedings, 2023
Modelling the non-stationary unconstrained bivariate integer-valued autoregressive of order 1 (NSUBINAR(1)) model is challenging due to the complex cross-correlation relationship between the counting series.
Sunecher Yuvraj, Mamode Khan Naushad
doaj   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Quasi-maximum exponential likelihood estimator and portmanteau test of double AR(p) $\operatorname{AR}(p)$ model based on Laplace(a,b) $\operatorname{Laplace}(a,b)$

Journal of Inequalities and Applications, 2018
The paper studies the estimation and the portmanteau test for double AR(p) $\operatorname{AR}(p)$ model with Laplace(a,b) $\operatorname{Laplace}(a,b)$ distribution.
Haiyan Xuan, Lixin Song, Un Cig Ji, Yan Sun, Tianjiao Dai   +4 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Variable Selection of High-Dimensional Spatial Autoregressive Panel Models with Fixed Effects

Journal of Mathematics, 2023
This paper studies the variable selection of high-dimensional spatial autoregressive panel models with fixed effects in which a matrix transformation method is applied to eliminate the fixed effects.
Miaojie Xia, Yuqi Zhang, Ruiqin Tian
doaj   +1 more source