25 citations · 49 across the 16 of their papers we have counts for
16 papers
A sufficient condition for the existence of solutions of singular linear-quadratic vector equations
Rishikesh Yadav, Axel Flinth
We study the existence of solutions for systems of linear-quadratic vector equations with singular linear parts. We derive a sufficient condition for small right hand sides.
Statistics of extremes for natural hazards: landslides and earthquakes
Rishikesh Yadav, Luigi Lombardo, Raphaël Huser
In this chapter, we illustrate the use of split bulk-tail models and subasymptotic models motivated by extreme-value theory in the context of hazard assessment for earthquake-induc…
Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study
Arnab Hazra, Pratik Nag, Rishikesh Yadav +1
Increasingly large and complex spatial datasets pose massive inferential challenges due to high computational and storage costs. Our study is motivated by the KAUST Competition on…
Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions
Rishikesh Yadav, Raphaël Huser, Thomas Opitz +1
To accurately quantify landslide hazard in a region of Turkey, we develop new marked point process models within a Bayesian hierarchical framework for the joint prediction of lands…
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
Daniela Cisneros, Yan Gong, Rishikesh Yadav +2
Motivated by the Extreme Value Analysis 2021 (EVA 2021) data challenge we propose a method based on statistics and machine learning for the spatial prediction of extreme wildfire f…
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data
Rishikesh Yadav, Raphaël Huser, Thomas Opitz
In this work, we develop a constructive modeling framework for extreme threshold exceedances in repeated observations of spatial fields, based on general product mixtures of random…