Results 131 to 140 of about 11,564,802 (285)

Bayesian correlated clustering to integrate multiple datasets [PDF]

, 2012
Motivation: The integration of multiple datasets remains a key challenge in systems biology and genomic medicine. Modern high-throughput technologies generate a broad array of different data types, providing distinct – but often complementary ...
Wild, David L., Kirk, Paul, Griffin, Jim E., Ghahramani, Zoubin, Savage, Richard S.   +4 more
core   +1 more source

Revisiting the Intellectual Legacy of H. Igor Ansoff: A Critical Analysis of His Contributions and Their Impact on the Evolution of Strategic Management

Strategic Change, EarlyView.
ABSTRACT This systematic review examines how H. Igor Ansoff's theoretical contributions have evolved in contemporary strategic management through cluster analysis of 116 publications (1968–2024). Four distinct research clusters were identified, revealing that Ansoff's legacy has shifted from theoretical foundations to pedagogical applications and ...
Adiemir Hortega, Daniela Menezes, Fernando Antonio Ribeiro Serra, Maling Ebrahimpour, Benny Kramer   +4 more
wiley   +1 more source

Robust Bayesian Estimation of Mixed Normal Dirichlet Models to Study the Effect of Some Climatic Factors on Evaporation

Proceedings of the International Conference on Applied Innovations in IT
This study proposes and validates a robust Bayesian model based on a Dirichlet process mixture of normals (DMNM) for probability density estimation and missing data imputation in multivariate datasets.
Hassan Sami, Asmaa Ayoob
doaj   +1 more source

Optimal Design of Elastic Plates: Hybrid Numerical Method Based on Homogenization and Shape Derivative

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT This paper focuses on optimal design problems in the context of the Kirchhoff‐Love model for pure bending of a thin, solid, symmetric plate under a transverse load. The objective is to simultaneously determine the optimal outer shape of the domain and the distribution of two isotropic materials within the domain in order to minimize compliance.
Ivana Crnjac, Jelena Jankov Pavlović, Petar Kunštek   +2 more
wiley   +1 more source

Data/code upload for peer review of manuscript, entitled "Clustering and unconstrained ordination with Dirichlet process mixture models"

<p>Data and code release for peer view of manuscript entitled, "Clustering and unconstrained ordination with Dirichlet process mixture models."</p ...
Anonymous
core   +3 more sources

Bayesian cluster geographically weighted regression for spatial heterogeneous data

Royal Society Open Science
Spatial statistical models are commonly used in geographical scenarios to ensure spatial variation is captured effectively. However, spatial models and cluster algorithms can be complicated and expensive.
Wala Draidi Areed, Aiden Price, Helen Thompson, Conor Hassan, Reid Malseed, Kerrie Mengersen   +5 more
doaj   +1 more source

Spiked Dirichlet Process Priors for Gaussian Process Models

Journal of Probability and Statistics, 2010
We expand a framework for Bayesian variable selection for Gaussian process (GP) models by employing spiked Dirichlet process (DP) prior constructions over set partitions containing covariates.
Terrance Savitsky, Marina Vannucci
doaj   +1 more source

An Implicit Nodal–Staggered Finite Difference Scheme for Damped Shear Beam Models Without Rotational Inertia

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We develop and analyze a fully discrete finite difference approximation for a damped shear beam model with mixed boundary conditions and no rotational inertia. The absence of a second‐order time derivative in the rotational equation gives rise to an asymmetric temporal structure.
Anderson de Jesus Araújo Ramos, André Fellipe Ribeiro de Almeida, Manoel Jeremias Dos Santos, Carlos Alberto da Silva Nonato   +3 more
wiley   +1 more source

An Elasto–Plastic Hydro–Mechanical Model for Analyzing the Swelling Behavior of Heterogeneous Clay–Sulfate Rocks

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Swelling of clay‐sulfate rocks is a concern in geotechnical engineering that can damage infrastructure. In the historic town of Staufen in southwest Germany, geothermal drilling into a swellable anhydrite‐bearing clay formation resulted in water inflow and subsequent swelling, triggering ground heave and damage to more than 250 houses.
Reza Mahmoudi Kouhi, Reza Taherdangkoo, Thomas Nagel, Faramarz Doulati Ardejani, Christoph Butscher   +4 more
wiley   +1 more source

The local Dirichlet process

Dependent Dirichlet process, Blocked Gibbs sampler, Mixture model, Non-parametric Bayes, Stick-breaking representation,
Yeonseung Chung, David Dunson
core   +1 more source