6 papers
Copula-Based Bivariate Kumaraswamy-Teissier Distributions: Modeling Temperature-Rainfall Dependence and Compound Extremes
Kamana Mishra, Tanmay Kayal, Sarita Azad
This study proposes two novel bivariate distributions for jointly modeling temperature and rainfall by integrating Kumaraswamy-Teissier marginals with Clayton and Gumbel copula str…
A Quantile-Based Kumaraswamy-Teissier autoregressive moving average models
Kamana Mishra, Tanmay Kayal, Sarita Azad
This paper introduces a quantile-based Kumaraswamy-Teissier autoregressive moving average (KTARMA) model for positive-valued time series. Leveraging the flexibility of the extended…
Website visits can predict angler presence using machine learning
Julia S. Schmid, Sean Simmons, Mark A. Lewis +2
Understanding and predicting recreational angler effort is important for sustainable fisheries management. However, conventional methods of measuring angler effort, such as surveys…
Analyzing recreational fishing effort -- Gender differences and the impact of Covid-19
Julia S. Schmid, Sean Simmons, Mark S. Poesch +2
Recreational fishing is an important economic driver and provides multiple social benefits. To predict fishing activity, identifying variables related to variation, such as gender…
Webpage Views as a Proxy for Angler Pressure and Effort: Insights from Bayesian Networks
Azar Taheri Tayebi, Julia S. Schmid, Sean Simmons +3
Reliable angler activity data inform fisheries management. Traditionally, such data are gathered through surveys, but an innovative cost-effective approach involves utilizing onlin…
Multiphysics-decision tree learning for improved variably saturated subsurface parameter estimation and reduced-order simulation
Michael J Friedel, Massimo Buscema
A novel multiphysics-decision tree learning algorithm is presented for (1) estimating transport properties in the variably saturated subsurface governed by explicitly coupled equat…