Cover Image

Visualisation and outlier detection for probability density function ensembles

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Alexander C. Murph, Justin D. Strait, Kelly R. Moran, Jeffrey D. Hyman, Philip H. Stauffer
Format:	Artículo Open Access
Published:	Wiley 2024
Subjects:	Stat
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stagewise Boosting Distributional Regression
by: Mattias Wetscher, et al.
Published: (2025)

Oceanographic parameters for the sample stations of the cruise AT004
by: Hasenbein, Simone, et al.
Published: (2024)

Solving the missing at random problem in semi‐supervised learning: An inverse probability weighting method
by: Jin Su, et al.
Published: (2024)

Oceanographic parameters for the sample stations of the cruise AT010
by: Hasenbein, Simone, et al.
Published: (2025)

Grain size distribution for sediment samples of the cruise AT004
by: Wippermann, Dominik, et al.
Published: (2024)

Estimation of the density for censored and contaminated data
by: Ingrid Van Keilegom, et al.
Published: (2024)

Nitrous oxide (N2O) measurements in the surface water of the Elbe Estuary in 2015
by: Brase, Lisa, et al.
Published: (2017)

Alkalinity and DIC data in water samples from the Alps and Germany collected in 2020
by: Lehmann, Nele, et al.
Published: (2021)

Trace metal distribution for water samples of the cruise AT004
by: Wippermann, Dominik, et al.
Published: (2025)

A Corrected Score Function Framework for Modelling Circadian Gene Expression
by: Michael T. Gorczyca, et al.
Published: (2024)

On quantifying heterogeneous treatment effects with regression‐based individualized treatment rules: Loss function families and bounds on estimation error
by: Michael T. Gorczyca, et al.
Published: (2024)

Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics
by: Camille J. Hochheimer, et al.
Published: (2024)

Empowering collaborative statisticians: The impact of the American Statistical Association's Pathways to Promotion Committee
by: Margaret R. Stedman, et al.
Published: (2024)

Trace metal distribution for water samples of the cruise AT010
by: Wippermann, Dominik, et al.
Published: (2025)

Grain size distribution for sediment samples of the cruise AT010
by: Faust, Svenja, et al.
Published: (2025)

Deep learning models to predict primary open‐angle glaucoma
by: Ruiwen Zhou, et al.
Published: (2024)

Methods for building a staff workforce of quantitative scientists in academic health care
by: Sarah Peskoe, et al.
Published: (2024)

Multivariate differential association analysis
by: Hoseung Song, et al.
Published: (2024)

STAR: Spread of innovations on graph structures with the Susceptible‐Tattler‐Adopter‐Removed model
by: Riccardo Parviero, et al.
Published: (2024)

On Large Language Models in National Security Applications
by: William N. Caballero, et al.
Published: (2025)

A Novel Forecasting Method Based on Markov‐Weighted Fuzzy Logical Relationships and F‐Transform
by: C. Carvajal‐Muquillaza, et al.
Published: (2025)

G‐Estimation With Partial Interference
by: Kayla W. Kilpatrick, et al.
Published: (2025)

Family of Hermite Polynomials Adapted to Mixture Experiments With Random Perturbations in the Directional Effects of the Components
by: Daniela A. Mafra, et al.
Published: (2024)

The data science discovery program: A model for data science consulting in higher education
by: C. Taylor Brown, et al.
Published: (2024)

A guide to successful management of collaborative partnerships in quantitative research: An illustration of the science of team science
by: Alyssa Platt, et al.
Published: (2024)

Bayesian Multilayered Mediation Analysis for Cancer Pharmacogenomics
by: Dahun Seo, et al.
Published: (2024)

General Expression of Best Equivariant Estimators of Regression Coefficients in Seemingly Unrelated Regression Models
by: Shun Matsuura, et al.
Published: (2024)

A Note on Confidence Intervals for a Binomial p : Andersson–Nerman vs. Wilson
by: Per Gösta Andersson
Published: (2024)

A note about why deep learning is deep: A discontinuous approximation perspective
by: Yongxin Li, et al.
Published: (2024)

Softplus negative binomial network autoregression
by: Xiangyu Guo, et al.
Published: (2024)

Working well with statisticians: Perceptions of practicing statisticians on their most successful collaborations
by: Ryan A. Peterson, et al.
Published: (2024)

Autocorrelated Errors in Panel Linear Regression: A New Objective Bayesian Perspective
by: Haifan Xie, et al.
Published: (2024)

Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson data
by: Pei‐Sheng Lin, et al.
Published: (2024)

New bounds and search for maximin distance U‐type designs
by: Sixu Liu, et al.
Published: (2024)

Reducing the statistical error of generative adversarial networks using space‐filling sampling
by: Sumin Wang, et al.
Published: (2024)

Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noises
by: Libai Xu, et al.
Published: (2024)

Variational inference for the latent shrinkage position model
by: Xian Yao Gwee, et al.
Published: (2024)

Network alternating direction method of multipliers for ultrahigh‐dimensional decentralised federated learning
by: Wei Dong, et al.
Published: (2024)

The student staffing advantage: Data Science Consulting Service at NC State University Libraries
by: Joddy Marchesoni, et al.
Published: (2024)

Documenting and communicating the contributions of embedded statisticians: Show me the value!
by: Terrie Vasilopoulos, et al.
Published: (2024)