activity
20152024
most citedEstimating Value at Risk and Expected Shortfall: A Brief Review and Some New Developments

2 citations · 3 across the 7 of their papers we have counts for

collaborators

9 papers

stat.CO2024★ 2 cited

Estimating Value at Risk and Expected Shortfall: A Brief Review and Some New Developments

Kanon Kamronnaher, Andrew Bellucco, Whitney K. Huang +1

Value-at-risk (VaR) and expected shortfall (ES) are two commonly utilized metrics for quantifying financial risk. In this study, we review the widely employed Generalized Autoregre…

stat.AP2023

Topological Data Analysis Assisted Automated Sleep Stage Scoring Using Airflow Signals

Yu-Min Chung, Whitney K. Huang, Hau-Tieng Wu

Objective: Breathing pattern variability (BPV), as a universal physiological feature, encodes rich health information. We aim to show that, a high-quality automatic sleep stage sco…

stat.AP2022

Joint modeling of wind speed and wind direction through a conditional approach

Eva Murphy, Whitney Huang, Julie Bessac +2

Atmospheric near surface wind speed and wind direction play an important role in many applications, ranging from air quality modeling, building design, wind turbine placement to cl…

stat.AP2022

Station-wise statistical joint assessment of wind speed and direction under future climates across the United States

Qiuyi Wu, Julie Bessac, Whitney Huang +1

This study develops a statistical conditional approach to evaluate climate model performance in wind speed and direction and to project their future changes under the representativ…

stat.ML2020★ 1 cited

Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression

Whitney K. Huang, Yu-Min Chung, Yu-Bo Wang +2

Airflow signal encodes rich information about respiratory system. While the gold standard for measuring airflow is to use a spirometer with an occlusive seal, this is not practical…

stat.AP2020

Estimating Concurrent Climate Extremes: A Conditional Approach

Whitney K. Huang, Adam H. Monahan, Francis W. Zwiers

Simultaneous concurrence of extreme values across multiple climate variables can result in large societal and environmental impacts. Therefore, there is growing interest in underst…

stat.ME2019

New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal Networks

Whitney K. Huang, Daniel S. Cooley, Imme Ebert-Uphoff +2

Understanding dependence structure among extreme values plays an important role in risk assessment in environmental studies. In this work we propose the network and the annual…

stat.ME2018

Estimating Precipitation Extremes using Log-Histospline

Whitney K. Huang, Douglas W. Nychka, Hao Zhang

One of the commonly used approaches to modeling extremes is the peaks-over-threshold (POT) method. The POT method models exceedances over a threshold that is sufficiently high or l…

stat.AP2015

Estimating changes in temperature extremes from millennial scale climate simulations using generalized extreme value (GEV) distributions

Whitney K. Huang, Michael L. Stein, David J. McInerney +2

Changes in extreme weather may produce some of the largest societal impacts of anthropogenic climate change. However, it is intrinsically difficult to estimate changes in extreme e…