Results 231 to 240 of about 9,950,038 (297)

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

Lightweight Federated Learning Approach for Resource-Constrained Internet of Things. [PDF]

Sensors (Basel)
Baqer M.
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

Relativistic triangle-curvature computing for federated HIV-1 protein-sequence monitoring. [PDF]

Sci Rep
Villalba-Díez J, González-Marcos A.
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

FedGDAN: Privacy-preserving traffic flow prediction via federated graph diffusion attention networks. [PDF]

Sci Rep
Li Y, Mi B, Zeng R.
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

FedECPA: An Efficient Countermeasure Against Scaling-Based Model Poisoning Attacks in Blockchain-Based Federated Learning. [PDF]

Sensors (Basel)
Olapojoye R, Salman T, Baza M, Alshehri A.   +3 more
europepmc   +1 more source

Size‐selective mortality evolutionarily alters collective behaviour in response to predation risk in a zebrafish (Danio rerio) harvest‐induced selection model

Journal of Fish Biology, EarlyView.
Abstract Intensive multigenerational size‐selective mortality has been found to alter collective properties like shoaling via evolutionary adaptations of individual‐level behavioural traits. For example, experimental populations of zebrafish (Danio rerio) experiencing intensive large size‐selective mortality over multiple generations developed less ...
Tamal Roy, Daniel João Costa Pereira de Faria, Robert Arlinghaus   +2 more
wiley   +1 more source

Adaptive personalized federated learning with lightweight depthwise convolutional bottleneck network for novel intrusion detection system in internet of vehicles. [PDF]

Sci Rep
Almansour S, Yadav K, Alkwai LM, Alghamdi NS, Viriyasitavat W, Dhiman G.   +5 more
europepmc   +1 more source