Biometrics & Biostatistics (original) (raw)

Mixtures of spatial spline regressions for clustering and classification

Geoff McLachlan

Computational Statistics & Data Analysis, 2014

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Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation

Concha Bielza

International Journal of Approximate Reasoning, 2014

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Semiparametric finite mixture of regression models with Bayesian P-splines

Marco Berrettini

Advances in Data Analysis and Classification

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Bayesian curve-fitting with free-knot splines

Ilaria Dimatteo

Biometrika

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Bayesian Curve Registration of Functional Data

Anandamayee Majumdar

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Application of Penalized Splines in Analyzing Neuronal Data

John Maringwa, Helena Geys, Carmen Cadarso-suárez

Biometrical Journal, 2009

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Translation-invariant mixture models for curve clustering

Eric Mjolsness

Proceedings of the ninth …, 2003

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A Predictive Study of Dirichlet Process Mixture Models for Curve Fitting

Sara Wade

Scandinavian Journal of Statistics, 2013

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Biometrics Unit Technical Reports: Number BU-1560-M: Self-Modeling Regression with Random Effects

Julio Villarreal

2001

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Hybrid Dirichlet mixture models for functional data

Michele Guindani

Journal of The Royal Statistical Society Series B-statistical Methodology, 2009

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Estimation of Posterior Probabilities Using Multivariate Smoothing Splines and Generalized Cross-Validation

Miguel A Villalobos

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Multidimensional Adaptive Penalised Splines with Application to Neurons' Activity Studies

Dae-Jin Lee

arXiv (Cornell University), 2020

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Exact Bayesian curve fitting and signal segmentation

Paul Fearnhead

2005

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Segmental modeling using a continuous mixture of nonparametric models

H. Franco

IEEE Transactions on Speech and Audio Processing, 1999

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Spline-based non-parametric regression for periodic functions and its application to directional tuning of neurons

V. Ventura, Robert Kass

Statistics in Medicine, 2005

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A Bayesian method for fitting parametric and nonparametric models to noisy data

Daniel Keren

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001

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Statistical smoothing of neuronal data

Robert Kass, V. Ventura

Network: Computation in Neural Systems, 2003

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Identifying Mixtures of Mixtures Using Bayesian Estimation

Sylvia Frühwirth-Schnatter

Journal of Computational and Graphical Statistics, 2016

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Shape variability and spatial relationships modeling in statistical pattern recognition

Michel Desvignes

Pattern Recognition Letters, 2004

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Bayesian density estimation and model selection using nonparametric hierarchical mixtures

Alessandra Guglielmi

Computational Statistics & Data Analysis, 2010

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Bayesian analysis for mixtures of discrete distributions with a non-parametric component

Andrew Harrison

Journal of Applied Statistics, 2015

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Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data

Geoff McLachlan

2009 Digital Image Computing: Techniques and Applications, 2009

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Dynamic Weights in Gaussian Mixture Models: A Bayesian Approach

helio migon

2021

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Combinational Mixtures of Multiparameter Distributions

Valeria Edefonti

2009

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Compositional splines for representation of density functions

Jitka Machalová

Computational Statistics, 2020

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Bioprocess hybrid parametric/nonparametric modelling based on the concept of mixture of experts

Sebastiao Azevedo

Biochemical Engineering Journal, 2008

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Mixture Models

Wilfried Seidel

International Encyclopedia of Statistical Science, 2011

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Flexible Generalized Mixture Model Cluster Analysis with Elliptically-Contoured Distributions

Prof. Hamparsum Bozdogan

i-manager’s Journal on Pattern Recognition

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On the fitting of mixtures of multivariate skew t-distributions via the EM algorithm

Geoff McLachlan

2011

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Robust functional statistics applied to probability density function shape screening of sEMG data

Mariam Harrach

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2014

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Compositional splines for representation of density functions. (arXiv:1905.06858v2 [math.NA] UPDATED)

Jitka Machalová

arXiv Computer Science, 2019

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Bayesian clustering of shapes of curves

Anuj Srivastava

Journal of Statistical Planning and Inference, 2015

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Stable Radial Basis Function Selection via Mixture Modelling of the Sample Path

Ernest Fokoue

Journal of Data Science, 2021

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Bayesian growth curves using normal mixtures with nonparametric weights

Luisa Scaccia

2002

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Bayesian curve estimation by model averaging

Daniel Peña

Computational Statistics & Data Analysis, 2006

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