:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bui, Hai, Bakhoday-Paskyabi, Mostafa
Format:	Preprint
Published:	2023
Subjects:	Applications 65C20, 62-04, 62P12
Online Access:	https://arxiv.org/abs/2306.16043
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
by: Rodeschini, Jacopo, et al.
Published: (2025)

Probabilistic Scenario-Based Assessment of National Food Security Risks with Application to Egypt and Ethiopia
by: Koundouri, Phoebe, et al.
Published: (2023)

Modeling of Vertical Distribution of Suspended Sediment Concentration in Open Channel Turbulent Flows Using Fractional Differential Entropy
by: Paul, Poulami, et al.
Published: (2025)

Quantile Treatment Effects in High Dimensional Panel Data
by: Xu, Yihong, et al.
Published: (2025)

Correcting for partial verification bias in diagnostic accuracy studies: A tutorial using R
by: Arifin, Wan Nor, et al.
Published: (2025)

Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence
by: Hejný, Ivan, et al.
Published: (2026)

Leave-group-out cross-validation for latent Gaussian models
by: Liu, Zhedong, et al.
Published: (2022)

Impact of rainfall risk on rice production: realized volatility in mean model
by: Ghosh, Soham, et al.
Published: (2025)

Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
by: Dey, Debangan, et al.
Published: (2026)

Interpretable contour level selection for heat maps for gridded data
by: Duong, Tarn
Published: (2025)

On the importance of tail assumptions in climate extreme event attribution
by: Li, Mengran, et al.
Published: (2025)

Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis
by: Mostafa, Fahad, et al.
Published: (2025)

Inference for multiple treatment effects using confounder importance learning
by: Papaspiliopoulos, Omiros, et al.
Published: (2021)

Informed Asymmetric Dirichlet Priors for Multivariate Bernoulli Mixture Models
by: Ferrari, Luisa, et al.
Published: (2026)

Estimating Extreme Wave Surges in the Presence of Missing Data
by: McVittie, James H., et al.
Published: (2025)

Forecasting Elections from Partial Information Using a Bayesian Model for a Multinomial Sequence of Data
by: Deb, Soudeep, et al.
Published: (2021)

Dynamic Inference in Term Structure Models with Unspanned Latent Risks
by: Dubiel-Teleszynski, Tomasz, et al.
Published: (2022)

A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
by: Aich, Agnideep, et al.
Published: (2025)

Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference
by: Dong, Jiayuan, et al.
Published: (2022)

Empirical Bayes Selection for Value Maximization
by: Coey, Dominic, et al.
Published: (2022)

Boxplots and quartile plots for grouped and periodic angular data
by: Berlinski, Joshua D., et al.
Published: (2026)

A Statistical Framework for Model Selection in LSTM Networks
by: Mostafa, Fahad
Published: (2025)

A semiparametric generalized exponential regression model with a principled distance-based prior
by: Dey, Arijit, et al.
Published: (2023)

$L$-estimation of Claim Severity Models Weighted by Kumaraswamy Density
by: Poudyal, Chudamani, et al.
Published: (2024)

Simple yet effective: a comparative study of statistical models for yearly hurricane forecasting
by: Colombo, Pietro, et al.
Published: (2024)

Spatial extremal modelling: A case study on the interplay between margins and dependence
by: Kakampakou, Lydia, et al.
Published: (2024)

Weighted Parameter Estimators of the Generalized Extreme Value Distribution in the Presence of Missing Observations
by: McVittie, James H., et al.
Published: (2025)

Estimating Causal Attribution of Anthropogenic Forcing on High-Temperature Extremes Using a Latent Gaussian Spatial Model
by: Giri, Ritik Roshan, et al.
Published: (2026)

The zero degree of freedom non-central chi squared distribution for ensemble postprocessing
by: Groß, Jürgen, et al.
Published: (2024)

Detecting Filamentarity in Climate and Galactic Spatial Point Processes
by: Gjoka, Aida, et al.
Published: (2024)

Robust statistical modeling of monthly rainfall: The minimum density power divergence approach
by: Hazra, Arnab, et al.
Published: (2019)

Beta-Generalized Lindley Distribution: A Novel Probability Model for Wind Speed
by: Yang, Tiantian, et al.
Published: (2025)

Evaluation of the linear mixing model in fluorescence spectroscopy
by: Hoff, Peter, et al.
Published: (2024)

Predictions of damages from Atlantic tropical cyclones: a hierarchical Bayesian study on extremes
by: Dietz, Lindsey, et al.
Published: (2022)

A Bayesian latent Gaussian conditional autoregressive copula model for analyzing spatially-varying trends in rainfall
by: Bhowmik, Sayan, et al.
Published: (2025)

Bayesian Species Distribution Models using Hierarchical Decomposition Priors
by: Ferrari, Luisa, et al.
Published: (2026)

Bootstrap Pettitt test for detecting change point in hydroclimatological data: a case study for Itaipu hydroelectric plant in Brazil
by: Conte, Luiza Chiarelli, et al.
Published: (2024)

Large Wave Direction Data Modeling Using Wrapped Spatial Gaussian Markov Random Fields
by: Hazra, Arnab
Published: (2026)

Penalized KLIC Model Selection for the Generalized Method of Moments in Longitudinal Data with Time-Dependent Covariates
by: Hasan, Mahmud, et al.
Published: (2026)

Faster identification of faster Formula 1 drivers via time-rank duality
by: Fry, John, et al.
Published: (2023)