Results 21 to 30 of about 95 (94)

Integration GSTARIMA with deep neural network to enhance prediction accuracy on rainfall data

Systems Science & Control Engineering
This study aimed to improve rainfall prediction accuracy by integrating spatio-temporal Generalized Autoregressive Integrated Moving Average (GSTARIMA) with Deep Neural Network (DNN) techniques.
Devi Munandar, Budi Nurani Ruchjana, Atje Setiawan Abdullah, Hilman Ferdinandus Pardede   +3 more
doaj   +1 more source

Estimation for spatial semi-functional partial linear regression model with missing response at random

Demonstratio Mathematica
The aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR).
Benchikh Tawfik, Almanjahie Ibrahim M., Fetitah Omar, Attouch Mohammed Kadi   +3 more
doaj   +1 more source

A matrix approach to compare BLUEs under a linear regression model and its two competing restricted models with applications

Demonstratio Mathematica
Suppose that a weakly singular linear regression model M{\mathscr{M}} and its two competing restricted models M1{{\mathscr{M}}}_{1} and M2{{\mathscr{M}}}_{2} are given.
Ren Xingwei
doaj   +1 more source

Novel tau-informed initialization for maximum likelihood estimation of copulas with discrete margins

Dependence Modeling
We study Gaussian-copula models with discrete margins, with primary emphasis on low-count (Poisson) data. Our goal is exact yet computationally efficient maximum likelihood (ML) estimation in regimes where many observations contain small counts, which ...
van Es Anna, Cantoni Eva
doaj   +1 more source

Using sums-of-squares to prove Gaussian product inequalities

Dependence Modeling
The long-standing Gaussian product inequality (GPI) conjecture states that E[∏j=1n∣Xj∣yj]≥∏j=1nE[∣Xj∣yj]E\left[{\prod }_{j=1}^{n}{| {X}_{j}| }^{{y}_{j}}]\ge {\prod }_{j=1}^{n}E\left[{| {X}_{j}| }^{{y}_{j}}] for any centered Gaussian random vector (X1 ...
Russell Oliver, Sun Wei
doaj   +1 more source

Ultrasensitive Detection of Circulating LINE-1 ORF1p as a Specific Multicancer Biomarker. [PDF]

Cancer Discov, 2023
Taylor MS, Wu C, Fridy PC, Zhang SJ, Senussi Y, Wolters JC, Cajuso T, Cheng WC, Heaps JD, Miller BD, Mori K, Cohen L, Jiang H, Molloy KR, Chait BT, Goggins MG, Bhan I, Franses JW, Yang X, Taplin ME, Wang X, Christiani DC, Johnson BE, Meyerson M, Uppaluri R, Egloff AM, Denault EN, Spring LM, Wang TL, Shih IM, Fairman JE, Jung E, Arora KS, Yilmaz OH, Cohen S, Sharova T, Chi G, Norden BL, Song Y, Nieman LT, Pappas L, Parikh AR, Strickland MR, Corcoran RB, Mustelin T, Eng G, Yilmaz ÖH, Matulonis UA, Chan AT, Skates SJ, Rueda BR, Drapkin R, Klempner SJ, Deshpande V, Ting DT, Rout MP, LaCava J, Walt DR, Burns KH.   +58 more
europepmc   +1 more source

Assessing copula models for mixed continuous-ordinal variables

Dependence Modeling
Vine pair-copula constructions exist for a mix of continuous and ordinal variables. In some steps, this can involve estimating a bivariate copula for a pair of mixed continuous-ordinal variables.
Pan Shenyi, Joe Harry
doaj   +1 more source

A stationary Weibull process and its applications. [PDF]

J Appl Stat, 2023
Kundu D.
europepmc   +1 more source

LIC criterion for optimal subset selection in distributed interval estimation. [PDF]

J Appl Stat, 2023
Guo G, Sun Y, Qian G, Wang Q.
europepmc   +1 more source

Extreme quantile estimation for partial functional linear regression models with heavy-tailed distributions. [PDF]

Can J Stat, 2022
Zhu H, Li Y, Liu B, Yao W, Zhang R.
europepmc   +1 more source