[HTML][HTML] A nonparametric penalized likelihood approach to density estimation of space-time point patterns
In this work, we consider space-time point processes and study their continuous space-time
evolution. We propose an innovative nonparametric methodology to estimate the unknown …
evolution. We propose an innovative nonparametric methodology to estimate the unknown …
Theory of angular depth for classification of directional data
Depth functions offer an array of tools that enable the introduction of quantile-and ranking-
like approaches to multivariate and non-Euclidean datasets. We investigate the potential of …
like approaches to multivariate and non-Euclidean datasets. We investigate the potential of …
A new adaptive local polynomial density estimation procedure on complicated domains
This paper presents a novel approach for pointwise estimation of multivariate density
functions on known domains of arbitrary dimensions using nonparametric local polynomial …
functions on known domains of arbitrary dimensions using nonparametric local polynomial …
Dynamic clustering of spatial–temporal rainfall and temperature data over multi-sites in Yemen using multivariate functional approach
MA Hael, H Ma, AS Al-Sakkaf, HA AL-kuhali… - … Research and Risk …, 2024 - Springer
Abstract Analyzing Multivariate Functional Data (MFD) presents growing challenges in the
context of climate change modeling due to many issues, such as coarse resolution, model …
context of climate change modeling due to many issues, such as coarse resolution, model …
Locating -ray sources on the celestial sphere via modal clustering
A Montin, AR Brazzale, G Menardi… - Statistical Methods & …, 2024 - Springer
Sky surveys represent the fundamental data basis for detecting and locating as yet
undiscovered celestial objects. Since 2008, the Fermi LAT Collaboration has catalogued …
undiscovered celestial objects. Since 2008, the Fermi LAT Collaboration has catalogued …
Editorial for the 2nd special issue on high-dimensional and functional data analysis
JM Chiou, F Ferraty, J Goldsmith, JQ Shi… - … Statistics and Data …, 2023 - hal.science
Technological progress (connected objects, monitoring devices, sensors, remote sensing,
neuroimaging, etc) allows us to observe phenomena in ever greater detail. The functional …
neuroimaging, etc) allows us to observe phenomena in ever greater detail. The functional …
Nonparametric Space-Time Density Estimation for Point Processes over Irregular Regions
In this work, we propose a nonparametric density estimation technique for space-time
inhomogeneous Poisson point processes. We employ a penalized likelihood framework …
inhomogeneous Poisson point processes. We employ a penalized likelihood framework …
Nonparametric Space-Time Density
In this work, we propose a nonparametric density estimation technique for space-time
inhomogeneous Poisson point processes. We employ a penalized likelihood framework …
inhomogeneous Poisson point processes. We employ a penalized likelihood framework …