An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples
International Statistical Review, EarlyView.Summary The main issue with non‐probability samples is that the standard design‐based approach cannot be applied as the selection mechanism is unknown. In this paper, the concept of uncertainty on data generating model, resulting from the lack of knowledge of the sampling design acting in the non‐probability sample, is discussed.
Pier Luigi Conti, Daniela Marella
wiley +1 more source
Efficient lightweight privacy data anomaly detection solution with robust aggregation. [PDF]
Sci RepZhao J, Wen B, Yang J, Zhou S.
europepmc +1 more source
On Metric Choice in Dimension Reduction for Fréchet Regression
International Statistical Review, EarlyView.Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale +3 more
wiley +1 more source
A hybrid federated learning framework with generative AI for privacy-preserving and sustainable security in IOT-enabled smart environments. [PDF]
Sci RepRamalingam V +4 more
europepmc +1 more source
A Comparative Review of Specification Tests for Diffusion Models
International Statistical Review, EarlyView.Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez +3 more
wiley +1 more source
FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]
Sci RepPatel A +3 more
europepmc +1 more source
Unconditional Variance Estimation Under Complex Surveys
International Statistical Review, EarlyView.Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley +1 more source
Electrolyte Imbalance and Indirect Indicators of Dehydration in Temporary Agricultural Workers Exposed to Extreme Heat in the Mediterranean: An Observational Study on Environmental Health Risks. [PDF]
Healthcare (Basel)Cemeli T +8 more
europepmc +1 more source
International Statistical Review, EarlyView.Summary Distance covariance is a popular measure of dependence between random variables. It has some robustness properties, but not all. We prove that the influence function of the usual distance covariance is bounded, but that its breakdown value is zero.
Sarah Leyder +2 more
wiley +1 more source
Inter-implant distance correlated to different preparation protocol on cortical bone: an animal study. [PDF]
BMC Oral HealthToia M +7 more
europepmc +1 more source