Differentially Private Statistical Inference through -Divergence One Posterior Sampling
JE Jewson, S Ghalebikesabi… - Advances in Neural …, 2023 - proceedings.neurips.cc
Differential privacy guarantees allow the results of a statistical analysis involving sensitive
data to be released without compromising the privacy of any individual taking part …
data to be released without compromising the privacy of any individual taking part …
An ensemble approach to short‐term forecast of COVID‐19 intensive care occupancy in Italian regions
The availability of intensive care beds during the COVID‐19 epidemic is crucial to guarantee
the best possible treatment to severely affected patients. In this work we show a simple …
the best possible treatment to severely affected patients. In this work we show a simple …
On the stability of general Bayesian inference
We study the stability of posterior predictive inferences to the specification of the likelihood
model and perturbations of the data generating process. In modern big data analyses, useful …
model and perturbations of the data generating process. In modern big data analyses, useful …
Misspecified modeling of subsequent waves during COVID‐19 outbreak: a change‐point growth model
In the analysis of cumulative counts of SARS‐CoV‐2 infections, such as deaths or cases,
common parametric models based on log‐logistic growth curves adapt well to describe a …
common parametric models based on log‐logistic growth curves adapt well to describe a …
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy
The main determinants of COVID-19 spread in Italy are investigated, in this work, by means
of a D-vine copula based quantile regression. The outcome is the COVID-19 cumulative …
of a D-vine copula based quantile regression. The outcome is the COVID-19 cumulative …
A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy
L Scrucca - Statistical Methods & Applications, 2022 - Springer
Detecting changes in COVID-19 disease transmission over time is a key indicator of
epidemic growth. Near real-time monitoring of the pandemic growth is crucial for policy …
epidemic growth. Near real-time monitoring of the pandemic growth is crucial for policy …
[HTML][HTML] A fuzzy graph approach analysis for COVID-19 outbreak
Complex systems require rigorous analysis using effective method, in order to handle and
interpret their information. Spectrum produced from Fourier transform infrared (FTIR) …
interpret their information. Spectrum produced from Fourier transform infrared (FTIR) …
[PDF][PDF] The logistic growth regression model with the genetic algorithm for predicting the third wave of the COVID-19 epidemic in Thailand
R Wongsathan - Asia-Pacific Journal of Science and Technology, 2023 - so01.tci-thaijo.org
The world is currently facing the novel coronavirus 2019 (COVID-19). Thailand, with a high
basic reproduction number (2.27), the situation remains serious as the disease spreads …
basic reproduction number (2.27), the situation remains serious as the disease spreads …
Robust confidence distributions from proper scoring rules
A confidence distribution is a distribution for a parameter of interest based on a parametric
statistical model. As such, it serves the same purpose for frequentist statisticians as a …
statistical model. As such, it serves the same purpose for frequentist statisticians as a …
Robust Inference for Non-Linear Regression Models with Applications in Enzyme Kinetics
S Jana, A Ghosh - arXiv preprint arXiv:2409.15995, 2024 - arxiv.org
Despite linear regression being the most popular statistical modelling technique, in real-life
we often need to deal with situations where the true relationship between the response and …
we often need to deal with situations where the true relationship between the response and …