Open Journal of Statistics

Open Journal of Statistics

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org
"Bayesian Estimation for GEV-B-Spline Model"
written by Bouchra Nasri, Salaheddine El Adlouni, Taha B. M. J. Ouarda,
published by Open Journal of Statistics, Vol.3 No.2, 2013
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Non-Stationary Flood Frequency Analysis Using Cubic B-Spline-Based GAMLSS Model
2020
[2] Nonstationary warm spell frequency analysis integrating climate variability and change with application to the Middle East
2019
[3] Nonlinear response of precipitation to climate indices using a non‐stationary Poisson‐generalized Pareto model: case study of southeastern Canada
International journal of climatology, 2018
[4] Bayesian Analysis of the Proportional Hazards Model with Time‐Varying Coefficients
Scandinavian Journal of Statistics, 2017
[5] On copula-based conditional quantile estimators
2017
[6] Méthodes d'estimation des quantiles conditionnels en hydro-climatologie.
2017
[7] The Spatial and Temporal Structure of Extreme Rainfall Trends in South Korea
Water, 2017
[8] Non-stationary hydrologic frequency analysis using B-spline quantile regression
Journal of Hydrology, 2017
[9] A water risk index for portfolio exposure to climatic extremes: conceptualization and an application to the mining industry
Hydrology and Earth System Science, 2016
[10] Teleconnections and analysis of long‐term wind speed variability in the UAE
International Journal of Climatology, 2016
[11] Nonstationary frequency analysis of extreme daily precipitation amounts in Southeastern Canada using a peaks-over-threshold approach
Theoretical and Applied Climatology, 2016
[12] Atmospheric predictors for annual maximum precipitation in North Africa
Journal of Applied Meteorology and Climatology, 2016
[13] Regularized Bayesian estimation for GEV-B-splines model
Stochastic Environmental Research and Risk Assessment, 2016
[14] Hierarchical Bayesian clustering for nonstationary flood frequency analysis: Application to trends of annual maximum flow in Germany
Water Resources Research, 2015
[15] The stationarity paradigm revisited: Hypothesis testing using diagnostics, summary metrics, and DREAM (ABC)
Water Resources Research, 2015
[16] Towards Improved Model Evaluation: Diagnostic, Likelihood-free, Bayesian Inference
ProQuest Dissertations Publishing, 2015
[17] Hierarchical B ayesian clustering for nonstationary flood frequency analysis: Application to trends of annual maximum flow in G ermany
2015
[18] The stationarity paradigm revisited: Hypothesis testing using diagnostics, summary metrics, and DREAM(ABC)
Water Resources Research, 2015
[19] Non-stationary extremes with splines
P Jonathan - lancaster.ac.uk, 2013
[20] MULTIDIMENSIONAL COVARIATE EFFECTS IN SPATIAL AND JOINT EXTREMES
K Ewans, P Jonathan, D Randell, Y Wu - lancaster.ac.uk, 2013
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top