Results 141 to 150 of about 34,600 (197)

Merits of dietary patterns for China's future food security satisfying socioeconomic development and climate change adaptation. [PDF]

iScience
Yue W, Su M, Cai Y, Rong Q, Xu C, Hu Y, Li J, Yu S, Chen D, Liu Z, Tan Z, Yang Z.   +11 more
europepmc   +1 more source

Remaining Useful Life (RUL) Prediction Based on the Bivariant Two-Phase Nonlinear Wiener Degradation Process. [PDF]

Entropy (Basel)
Sun L, Liang Y, Yan Z.
europepmc   +1 more source

Time-coexpress: temporal trajectory modeling of dynamic gene co-expression patterns using single-cell transcriptomics data. [PDF]

BMC Bioinformatics
Yang S, Bussing A, Marra G, Brinkmeier ML, Camper SA, Davis SW, Ho YY.   +6 more
europepmc   +1 more source

Boosting distributional copula regression for bivariate binary, discrete and mixed responses. [PDF]

Stat Methods Med Res
Briseño Sanchez G, Klein N, Klinkhammer H, Mayr A.   +3 more
europepmc   +1 more source

Computationally efficient tail distribution-aware large-scale power system overloading risk assessment. [PDF]

Nat Commun
Tan B, Ye K, Zhao J, Hong M, Maslennikov S, Luo X.   +5 more
europepmc   +1 more source

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Distribution functions of multivariate copulas

Statistics & Probability Letters, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rodríguez-Lallena, José A., Úbeda-Flores, Manuel   +1 more
openaire   +2 more sources

Copula Functions for Residual Dependency

Psychometrika, 2007
Most item response theory models are not robust to violations of conditional independence. However, several modeling approaches (e.g., conditioning on other responses, additional random effects) exist that try to incorporate local item dependencies, but they have some drawbacks such as the nonreproducibility of marginal probabilities and resulting ...
Braeken, Johan, Tuerlinckx, Francis, De Boeck, Paul   +2 more
openaire   +1 more source

Aggregation Function Constructed from Copula

Carpathian Journal of Mathematics, 2022
"In this work, we show that a slight change in the Sklar's formula tremendously affects the class of aggregation functions it represents. While the original formula can only be used to construct $d$-increasing aggregation functions, this new formula can be used to construct any continuous aggregation function excepted possibly those belong to the ...
VARAYUT BOONYASRI, SANTI TASENA
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Binary copulas as aggregation functions

2014 IEEE 15th International Symposium on Computational Intelligence and Informatics (CINTI), 2014
We present binary copulas or 2-copulas (copulas, shortly) as important aggregation function. Since generally copulas are non-associative operation we restrict on binary case, which is mostly used in the practice. After giving some introductory part on general aggregation functions we restrict on specific properties of copulas.
Endre Pap, Aniko Szakal
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Copula Functions and Drought

2017
Copula functions are a group of multivariate distribution functions that join the marginal distribution of multiple variables. They have been used in different fields of science and engineering during the past decades. The main advantage of copulas over other multivariate distribution functions is their flexible structure in choosing marginal ...
Shahrbanou Madadgar, Hamid Moradkhani
openaire   +1 more source