Results 121 to 130 of about 11,564,802 (285)
Asymptotics for a Bayesian nonparametric estimator of species richness [PDF]
In Bayesian nonparametric inference, random discrete probability measures are commonly used as priors within hierarchical mixture models for density estimation and for inference on the clustering of the data. Recently it has been shown that they can also
Stefano Favaro +2 more
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Antiferroelectric Phase Transitions Under Electric Fields: A Review of Physics and Applications
Interdisciplinary Materials, EarlyView.Field‐induced phase transitions in antiferroelectric materials, driven by electric field, temperature, or stress, enable diverse applications including energy storage, electrocaloric cooling, and negative capacitance. These transitions are regulated through compositional design, strain engineering, heterostructure, and size effect, providing a unified ...
Dingxin Wang +7 more
wiley +1 more source
Weighted Dirichlet Process Mixture Models to Accommodate Complex Sample Designs for Linear and Quantile Regression. [PDF]
J Off Stat, 2021 Elliott MR, Xia X.
europepmc +1 more source
Time-Sensitive Dirichlet Process Mixture Models
, 2005 We introduce Time-Sensitive Dirichlet Process Mixture models for clustering. The models allow infinite mixture components just like standard Dirichlet process mixture models.
John Lafferty +2 more
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Time-dependent stick-breaking processes [PDF]
, 2009 This paper considers the problem of defining a time-dependent nonparametric prior. A recursive construction allows the definition of priors whose marginals have a general stick-breaking form.
Griffin, Jim E., Steel, Mark F. J.
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Irrigation and Drainage, EarlyView.ABSTRACT Crop modelling is essential for agricultural water management but often relies on simplified water balance routines that limit representation of soil moisture dynamics. To address this limitation, we developed a coupled model that integrates the 1‐D Richards equation, solved using a finite difference method into the FAO AquaCrop.
Krishna Panthi +2 more
wiley +1 more source
Environment International, 2015 Background: Airborne particles are a complex mix of organic and inorganic compounds, with a range of physical and chemical properties. Estimation of how simultaneous exposure to air particles affects the risk of adverse health response represents a ...
Monica Pirani +5 more
doaj +1 more source
Dynamic Dirichlet process mixture model for identifying voting coalitions in the United Nations General Assembly human rights roll call votes. [PDF]
J Appl Stat, 2022 Yu Q.
europepmc +1 more source
Mapping the Influence of Ansoff's Corporate Strategy
Strategic Change, EarlyView.ABSTRACT This paper conducts a systematic, data‐driven analysis of H. Igor Ansoff's enduring impact on strategic management scholarship. Despite Ansoff's recognition as the “father of strategic management” and the continued relevance of his frameworks—including the Ansoff matrix, weak signals analysis, and strategic thrust—a comprehensive understanding
Ivan Zupic +3 more
wiley +1 more source
On the Bayesian analysis of species sampling mixture models for density estimation [PDF]
, 2006 The mixture of normals model has been extensively applied to density estimation problems. This paper proposes an alternative parameterisation that naturally leads to new forms of prior distribution.
Griffin, Jim E.
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