vincnardelli

seai

Spatial Analysis with R and Python - SEAI 2022 Labs

covid19-italia

Repository ufficiale di Covstat.it

cbd

Materiale del corso Coding e Big Data 2023/2024 - Unicatt

epidsampler

A package for generating simulated epidemic dataset. Useful for testing sampling methods.

nowcasting-prod-ind

Nowcasting produzione industriale - Covstat.it

robspdep

robspdep: Robust Spatial Dependence

big-data-luiss

Materiale del corso Big Data Management for Executive - Luiss Business School

bulma-clean-theme

A clean and modern Jekyll theme based on Bulma

covid-spatial-panel

covid_vaccine_model

Epidemiological model to predict the spread of the epidemic, taking into account the vaccinations

covstat

CS4530-CS5500-Spring-2021

fpca

geomasking_kriging

Effects of confidentiality-preserving geo-masking on the estimation of semivariogram and of the kriging variance

gradient

gradient is a small package for efficient descent computation in R

inference-simul

just-the-class

A modern, highly customizable, responsive Jekyll template for course websites.

LaTeX-examples

Examples for the usage of LaTeX

lif

Local Impact Factor (LIF) Analysis for Spatial Autocorrelation

MLE_Weibull

Maximum likelihood estimation: Numerical Solution for Weibull distribution

pgadmin-test

RG-inference

saeall

Sampling Allocation for Small Area Estimation

safe-map

sampling-efficiency-feasibility

Optimal two-stage spatial sampling design for estimating critical parameters of SARS-CoV-2 epidemic: Efficiency vs. feasibility

spatial-web

spatiotemporal

statlern

vincnardelli.github.io