Lista de obras - Aki Vehtari - Dominio Público Uruguay

A multi-metabolite analysis of serum by 1H NMR spectroscopy: early systemic signs of Alzheimer's disease

artículo científico publicado en 2008

A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data.

artículo científico publicado en 2007

A survey of Bayesian predictive methods for model assessment, selection and comparison

An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data

Analysing the length of care episode after hip fracture: a nonparametric and a parametric Bayesian approach

artículo científico publicado en 2010

Approximate inference for disease mapping with sparse Gaussian processes.

artículo científico publicado en 2010

Automatic detection of acute kidney injury episodes from primary care data

Automatic fMRI-guided MEG multidipole localization for visual responses

artículo científico publicado en 2009

Automatic relevance determination based hierarchical Bayesian MEG inversion in practice

artículo científico publicado en 2007

Bayesian Data Analysis

libro de Andrew Gelman et otros

Bayesian Data Analysis, Third Edition

3rd edition (2013) of Bayesian Data Analysis

Bayesian MLP neural networks for image analysis

Bayesian analysis of the neuromagnetic inverse problem with l(p)-norm priors

artículo científico publicado en 2005

Bayesian approach for neural networks--review and case studies

artículo científico publicado en 2001

Bayesian inference for spatio-temporal spike and slab priors ⬇️

long version on 48 pages

Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles

artículo científico publicado en 2007

Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models ⬇️

artículo científico publicado en 2016

Bayesian model assessment and comparison using cross-validation predictive densities

artículo científico publicado en 2002

Bayesian variable selection in searching for additive and dominant effects in genome-wide data

artículo científico publicado en 2012

Brain-to-brain hyperclassification reveals action-specific motor mapping of observed actions in humans.

artículo científico publicado en 2017

CATS benchmark time series prediction by Kalman smoother with cross-validated noise density

Challenges and Opportunities in High-dimensional Variational Inference ⬇️

Characterization and non-parametric modeling of the developing serum proteome during infancy and early childhood.

artículo científico publicado en 2018

Comment

Comment: Consensus Monte Carlo using expectation propagation

Comparison of Bayesian predictive methods for model selection ⬇️

Cost-effectiveness of providing patients with information on managing mild low-back symptoms in an occupational health setting

artículo científico publicado en 2016

Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

artículo científico publicado en 2019

Distributed neural signatures of natural audiovisual speech and music in the human auditory cortex.

artículo científico publicado en 2016

Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER

artículo científico publicado en 2012

Effect of KIT and PDGFRA Mutations on Survival in Patients With Gastrointestinal Stromal Tumors Treated With Adjuvant Imatinib: An Exploratory Analysis of a Randomized Clinical Trial

artículo científico

Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

article

Expectation propagation for nonstationary heteroscedastic Gaussian process regression ⬇️

Explaining Classification by Finding Response-Related Subgroups in Data

Exploring the lipoprotein composition using Bayesian regression on serum lipidomic profiles

artículo científico publicado en 2007

Face-to-face information combined with a booklet versus a booklet alone for treatment of mild low-back pain: a randomized controlled trial.

artículo científico publicado en 2013

Features and Metric from a Classifier Improve Visualizations with Dimension Reduction

scholarly article by Elina Parviainen & Aki Vehtari published 2009 in Lecture Notes in Computer Science

Finite adaptation and multistep moves in the metropolis-hastings algorithm for variable selection in genome-wide association analysis

artículo científico publicado en 2012

Fragmented QRS in Prediction of Cardiac Deaths and Heart Failure Hospitalizations after Myocardial Infarction

artículo científico publicado en 2010

Gastrointestinal stromal tumor: a method for optimizing the timing of CT scans in the follow-up of cancer patients.

artículo científico publicado en 2013

Gaussian process regression with Student-t likelihood ⬇️

artículo científico publicado en 2009

Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond ⬇️

Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods

artículo científico publicado en 2007

Hierarchical second-order analysis of replicated spatial point patterns with non-spatial covariates

Interindividual variability and lateralization of μ-opioid receptors in the human brain

artículo científico publicado en 2020

Laplace Approximation for Logistic Gaussian Process Density Estimation and Regression

Machine Learning: Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra (Adv. Sci. 9/2019)

scholarly article by Kunal Ghosh et al published May 2019 in Advanced Science

Minimum Mode Saddle Point Searches Using Gaussian Process Regression with Inverse-Distance Covariance Function

scientific article published on 19 December 2019

Minimum Mode Saddle Point Searches Using Gaussian Process Regression with Inverse-Distance Covariance Function

artículo científico publicado en 2019

Modeling the length of the care episode after hip fracture: does the type of fracture matter?

artículo científico publicado en 2009

Nudged Elastic Band Calculations Accelerated with Gaussian Process Regression Based on Inverse Inter-Atomic Distances

Nudged Elastic Band Calculations Accelerated with Gaussian Process Regression Based on Inverse Interatomic Distances

artículo científico publicado en 2019

Nudged elastic band calculations accelerated with Gaussian process regression.

artículo científico publicado en 2017

One vs three years of adjuvant imatinib for operable gastrointestinal stromal tumor: a randomized trial.

artículo científico publicado en 2012

Plasma levels of hepatocyte growth factor and placental growth factor predict mortality in a general population: a prospective cohort study

artículo científico publicado en 2017

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC ⬇️

artículo científico publicado en 2020

Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming ⬇️

artículo científico publicado en 2020

Preferential Batch Bayesian Optimization

Projection predictive model selection for Gaussian processes ⬇️

Rao-Blackwellized particle filter for multiple target tracking

scholarly article by Simo Särkkä et al published January 2007 in Information Fusion

Risk of recurrence of gastrointestinal stromal tumour after surgery: an analysis of pooled population-based cohorts.

artículo científico

Robust, Accurate Stochastic Optimization for Variational Inference ⬇️

artículo científico publicado en 2020

SLUG transcription factor: a pro-survival and prognostic factor in gastrointestinal stromal tumour

artículo científico publicado en 2017

Shape analysis of concrete aggregates for statistical quality modeling

article published in 2005

Sparsity information and regularization in the horseshoe and other shrinkage priors

The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective

artículo científico publicado en 2015

The effectiveness of physical activity monitoring and distance counseling in an occupational setting – Results from a randomized controlled trial (CoAct) ⬇️

artículo científico publicado el 11 de mayo de 2012

The effectiveness of physical activity monitoring and distance counselling in an occupational health setting--a research protocol for a randomised controlled trial (CoAct).

artículo científico publicado en 2009

The effectiveness of two active interventions compared to self-care advice in employees with non-acute low back symptoms: a randomised, controlled trial with a 4-year follow-up in the occupational health setting

artículo científico publicado en 2011

The influence of selective participation in a physical activity intervention on the generalizability of findings

artículo científico publicado en 2014

Uncertainty-aware sensitivity analysis using Rényi divergences ⬇️

artículo científico publicado en 2021

Understanding predictive information criteria for Bayesian models

Using Bayesian neural networks to classify forest scenes

Using Stacking to Average Bayesian Predictive Distributions (with Discussion)

Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution ⬇️

p95HER2 Methionine 611 Carboxy-Terminal Fragment Is Predictive of Trastuzumab Adjuvant Treatment Benefit in the FinHer Trial.

artículo científico publicado en 2018

Lista de obras de Aki Vehtari

A multi-metabolite analysis of serum by 1H NMR spectroscopy: early systemic signs of Alzheimer's disease

A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic data.

A survey of Bayesian predictive methods for model assessment, selection and comparison

An additive Gaussian process regression model for interpretable non-parametric analysis of longitudinal data

Analysing the length of care episode after hip fracture: a nonparametric and a parametric Bayesian approach

Approximate inference for disease mapping with sparse Gaussian processes.

Automatic detection of acute kidney injury episodes from primary care data

Automatic fMRI-guided MEG multidipole localization for visual responses

Automatic relevance determination based hierarchical Bayesian MEG inversion in practice

Bayesian Data Analysis

Bayesian Data Analysis, Third Edition

Bayesian MLP neural networks for image analysis

Bayesian analysis of the neuromagnetic inverse problem with l(p)-norm priors

Bayesian approach for neural networks--review and case studies

Bayesian inference for spatio-temporal spike and slab priors ⬇️

Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles

Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models ⬇️

Bayesian model assessment and comparison using cross-validation predictive densities

Bayesian variable selection in searching for additive and dominant effects in genome-wide data

Brain-to-brain hyperclassification reveals action-specific motor mapping of observed actions in humans.

CATS benchmark time series prediction by Kalman smoother with cross-validated noise density

Challenges and Opportunities in High-dimensional Variational Inference ⬇️

Characterization and non-parametric modeling of the developing serum proteome during infancy and early childhood.

Comment

Comment: Consensus Monte Carlo using expectation propagation

Comparison of Bayesian predictive methods for model selection ⬇️

Cost-effectiveness of providing patients with information on managing mild low-back symptoms in an occupational health setting

Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

Distributed neural signatures of natural audiovisual speech and music in the human auditory cortex.

Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER

Effect of KIT and PDGFRA Mutations on Survival in Patients With Gastrointestinal Stromal Tumors Treated With Adjuvant Imatinib: An Exploratory Analysis of a Randomized Clinical Trial

Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Expectation propagation for nonstationary heteroscedastic Gaussian process regression ⬇️

Explaining Classification by Finding Response-Related Subgroups in Data

Exploring the lipoprotein composition using Bayesian regression on serum lipidomic profiles

Face-to-face information combined with a booklet versus a booklet alone for treatment of mild low-back pain: a randomized controlled trial.

Features and Metric from a Classifier Improve Visualizations with Dimension Reduction

Finite adaptation and multistep moves in the metropolis-hastings algorithm for variable selection in genome-wide association analysis

Fragmented QRS in Prediction of Cardiac Deaths and Heart Failure Hospitalizations after Myocardial Infarction

Gastrointestinal stromal tumor: a method for optimizing the timing of CT scans in the follow-up of cancer patients.

Gaussian process regression with Student-t likelihood ⬇️

Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond ⬇️

Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods

Hierarchical second-order analysis of replicated spatial point patterns with non-spatial covariates

Interindividual variability and lateralization of μ-opioid receptors in the human brain

Laplace Approximation for Logistic Gaussian Process Density Estimation and Regression

Machine Learning: Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra (Adv. Sci. 9/2019)

Minimum Mode Saddle Point Searches Using Gaussian Process Regression with Inverse-Distance Covariance Function

Minimum Mode Saddle Point Searches Using Gaussian Process Regression with Inverse-Distance Covariance Function

Modeling the length of the care episode after hip fracture: does the type of fracture matter?

Nudged Elastic Band Calculations Accelerated with Gaussian Process Regression Based on Inverse Inter-Atomic Distances

Nudged Elastic Band Calculations Accelerated with Gaussian Process Regression Based on Inverse Interatomic Distances

Nudged elastic band calculations accelerated with Gaussian process regression.

One vs three years of adjuvant imatinib for operable gastrointestinal stromal tumor: a randomized trial.

Plasma levels of hepatocyte growth factor and placental growth factor predict mortality in a general population: a prospective cohort study

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC ⬇️

Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming ⬇️

Preferential Batch Bayesian Optimization

Projection predictive model selection for Gaussian processes ⬇️

Rao-Blackwellized particle filter for multiple target tracking

Risk of recurrence of gastrointestinal stromal tumour after surgery: an analysis of pooled population-based cohorts.

Robust, Accurate Stochastic Optimization for Variational Inference ⬇️

SLUG transcription factor: a pro-survival and prognostic factor in gastrointestinal stromal tumour

Shape analysis of concrete aggregates for statistical quality modeling

Sparsity information and regularization in the horseshoe and other shrinkage priors

The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective

The effectiveness of physical activity monitoring and distance counseling in an occupational setting – Results from a randomized controlled trial (CoAct) ⬇️

The effectiveness of physical activity monitoring and distance counselling in an occupational health setting--a research protocol for a randomised controlled trial (CoAct).

The effectiveness of two active interventions compared to self-care advice in employees with non-acute low back symptoms: a randomised, controlled trial with a 4-year follow-up in the occupational health setting

The influence of selective participation in a physical activity intervention on the generalizability of findings

Uncertainty-aware sensitivity analysis using Rényi divergences ⬇️

Understanding predictive information criteria for Bayesian models

Using Bayesian neural networks to classify forest scenes

Using Stacking to Average Bayesian Predictive Distributions (with Discussion)

Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution ⬇️

p95HER2 Methionine 611 Carboxy-Terminal Fragment Is Predictive of Trastuzumab Adjuvant Treatment Benefit in the FinHer Trial.