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Ay que ilu! ¡Nuestro artículo sobre selección de variables con datos faltantes está entre los más leídos de BA! 🔗projecteuclid.org/journals/b… En él usamos un enfoque bayesiano para lidiar con la incertidumbre... incluso cuando faltan datos. #MissingData #VariableSelection #Bayesian
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Practical advice on variable selection and reporting using Akaike information criterion ow.ly/R8EK50UUQP3 | #ProcB #Ecology #VariableSelection
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12 Jan 2025
It can't get any worse, right?😂 #LinearRegression #DataScience #VariableSelection
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Marina Gomtsyan, Céline Lévy-Leduc, Sarah Ouadah and Laure Sansonnet (@MiaParisSaclay @AgroParisTech @UnivParisSaclay) propose an estimation method considering sparse Poisson models for #variableselection. Now in the June SPL issue doi.org/10.1016/j.spl.2024.1…
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Read #FeaturePaper "Extraction of Important Factors in a High-Dimensional Data Space: An Application for High-Growth Firms" from Takuya Wada et al. mdpi.com/1099-4300/25/3/488 #variableselection #featureselection #Bayesianmethod #bigdata
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12 Aug 2022
#risksmdpi #newarticle Variable Selection Algorithm for a Mixture of Poisson Regression for Handling Overdispersion in Claims Frequency Modeling Using Telematics Car Driving Data. Link: mdpi.com/2227-9091/10/4/83 #variableselection #telematics Any comments are welcomed.👏
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In this #openaccess 📝, Dr Jonathan R. Wood & @mixmickle discuss making the most of expert knowledge to analyse archaeological data via a case study on Parthian and Sasanian glazed pottery doi.org/10.1007/s12520-021-0… #compositionaldata #Variableselection #Glassproduction #Mesopotamia
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EViews 12, the latest edition of @IHSEViews brought us two new brilliant features on variable selection. Click here to find out how these two features can be implemented in your research: buff.ly/3s9DEy5 #EViews12 #EViews #VariableSelection #Variable
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Bayesian Model Averaging Using Power-Expected-Posterior Priors (by Dimitris Fouskakis @ntua and Ioannis Ntzoufras @AUEB) Click here to read🆓mdpi.com/2225-1146/8/2/17/ht… #BayesianModelAveraging #Bayesian #VariableSelection
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#mdpientropy "A Dirichlet Process Prior Approach for Covariate Selection" by Stefano Cabras mdpi.com/1099-4300/22/9/948 #covariate inclusion probability #Dirichletprocess prior #nonlocal prior #variableselection
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4 Apr 2020
Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts sci.fo/6bd #PriceForecasting #VariableSelection #LASSO @energies_mdpi
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Introducing Xverse! — A python package for feature selection and transformation - websystemer.no/introducing-x… #datascience #machinelearning #python #variableselection #variabletransformation

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COMPILATION: Top 10 Cited Papers In Last 2 Years Variable Selection in Time Series Forecasting Using Random Forests see: mdpi.com/1999-4893/10/4/114 #ARFIMA #ARMA #machinelearning #onestepaheadforecasting #randomforests #timeseriesforecasting #variableselection #algorithms
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Our own Dr Andrew Chapple presented his work “#Bayesian variable selection for a semi-competing risks model with three hazard functions” at the ENAR conference in #Philadelphia this morning. #biostatistics #statistics #variableselection
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17 Sep 2018
Just out in Biometrical Journal: "Dynamic clinical prediction models for discrete time‐to‐event data with competing risks—A case study on the #OUTCOMEREA database" by our Rachel Heyard and @HeldLeonhard bit.ly/2NLtwut #PredictionModels #Bayesian #VariableSelection

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