Results 141 to 150 of about 776,491 (337)
Prediction of protein binding sites in protein structures using hidden Markov support vector machine
BMC Bioinformatics, 2009 Background Predicting the binding sites between two interacting proteins provides important clues to the function of a protein. Recent research on protein binding site prediction has been mainly based on widely known machine learning techniques, such as ...
Lin Lei +5 more
doaj +1 more source
Markov Kernels and the Conditional Extreme Value Model [PDF]
, 2012 Abstract : The classical approach to extreme value modelling for multivariate data is to assume that the joint distribution belongs to a multivariate domain of attraction. In particular, this requires that each marginal distribution be individually attracted to a univariate extreme value distribution.
David Zeber, Sidney I. Resnick
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A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]
Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Maxwell L. King +2 more
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Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim +2 more
wiley +1 more source
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Although individuals may exhibit both gradual and abrupt changes in their dynamic properties as shaped by both slowly accumulating influences and acute events, existing statistical frameworks offer limited capacity for the simultaneous detection and representation of these distinct change patterns.
Yanling Li +3 more
wiley +1 more source
Heat kernel upper bounds for symmetric Markov semigroups [PDF]
Journal of Functional Analysis, 2020 Zhen-Qing Chen +3 more
semanticscholar +1 more source
A perturbation analysis of some Markov chains models with time-varying parameters
, 2017 We study some regularity properties in locally stationary Markov models which are fundamental for controlling the bias of nonparametric kernel estimators.
Truquet, Lionel
core
Cubature Formulas, Geometrical Designs, Reproducing Kernels, and Markov Operators
, 2005 Cubature formulas and geometrical designs are described in terms of reproducing kernels for Hilbert spaces of functions on the one hand, and Markov operators associated to orthogonal group representations on the other hand. In this way, several known results for spheres in Euclidean spaces, involving cubature formulas for polynomial functions and ...
De La Harpe, Pierre, Pache, Claude
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Conservation Biology, EarlyView.Abstract Measuring area‐based conservation outcomes in tropical forests is challenging due to cryptic human disturbances (e.g., hunting). As a result, comparative studies of management strategies providing quantitative outcomes remain scarce, especially in the Neotropics.
Lucy Perera‐Romero +5 more
wiley +1 more source
EURASIP Journal on Advances in Signal Processing, 2005 An appropriate definition and efficient computation of similarity (or distance) measures between two stochastic models are of theoretical and practical interest.
Chen Ling, Man Hong
doaj +1 more source