Results 201 to 210 of about 13,509 (257)

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

Evolutionary history and transmission dynamics of dengue virus type 2 in Africa. [PDF]

Front Microbiol
Bello MB, Aljedani SS, Lawal N, Alasiri A, Imam MU.   +4 more
europepmc   +1 more source

Federated Random Forest on Non-IID Data

KIISE Transactions on Computing Practices
Penjan Antonio Eng Lim, Cheong-Hee Park
openaire   +1 more source

Inference via the Skewness‐Kurtosis Set

International Statistical Review, EarlyView.
Summary Kurtosis minus squared skewness is bounded from below by 1, but for unimodal distributions, this parameter is bounded by 189/125. In some applications, it is natural to compare distributions by comparing their kurtosis‐minus‐squared‐skewness parameters. The asymptotic behavior of the empirical version of this parameter is studied here for i.i.d.
Chris A. J. Klaassen, Bert van Es
wiley   +1 more source

Fed-DTCN: A Federated Disentangled Learning Framework for Unsupervised Zero-Day Anomaly Detection in IoT with Semantic-Aware Augmentation. [PDF]

Sensors (Basel)
Khan MA, Khalid O, Rais RNB.
europepmc   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Epidemiology and genomics of azithromycin-resistant extensively drug-resistant <i>Salmonella enterica</i> serovar Typhimurium in Taiwan. [PDF]

Antimicrob Agents Chemother
Hong Y-P, Liao Y-S, Chen B-H, Wang Y-W, Teng R-H, Liang S-Y, Wei HL, Chang J-H, Chiou C-S.   +8 more
europepmc   +1 more source

Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function

International Statistical Review, EarlyView.
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler, Denis Belomestny, Simos George Meintanis, Emanuele Taufer   +3 more
wiley   +1 more source

The Third Study of Infectious Intestinal Disease (IID3 Study) in the Community: Protocol for UK-Based Prospective Cohort Studies Investigating the Disease Burden. [PDF]

JMIR Res Protoc
Rowland BW, Sexton V, Mill A, Rushton S, Sanderson R, Grundy C, de Lusignan S, Cunliffe NA, Hungerford D, Hopkins M, Gharbia S, Jenkins C, Godbole G, Vivancos R, Elliot AJ, Mellor DJ, Larkin L, Chalmers R, O'Brien S, IID3 Consortium.   +19 more
europepmc   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source