#ModelSelection

Hypothesis testing, model selection, model comparison - some thoughts EDIT: This was an attempt to write guidance. It turns out I stepped quite far from my depth and the text sounded much more conclusive than it should. I think it is correct to currently just classify i...

3 months ago

#statstab #467 Hypothesis testing, model selection, model comparison some thoughts

Thoughts: An excellent (but too short) discussion on bayesian inference.

#bayesian #bayesfactor #modelselection #inference #NBHT #BF #ROPE #primer

discourse.mc-stan.org/t/hypothesis...

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PR Stats

@prstats.bsky.social

4 months ago

Model Selection and Model Simplification | PR Statistics This two-day course offers practical, hands-on training in statistical model selection, comparison, and evaluation using R. Participants will learn to choose among competing models, handle multiple pr...

Model Selection and Model Simplification using R
Choose, compare, and refine models from AIC and BIC to cross-validation and averaging
Instructor: Dr Mark Andrews

9–10 Dec

prstats.org/course/model-selection-and-model-simplification-msms06
#Statistics #Rstats #DataAnalysis #ModelSelection #Bayesian

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Jillian Farquhar

@zoomsin.bsky.social

4 months ago

Very significant special issue with brilliant editorial team #ModelSelection #MarketingResearch

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AWS Insider

@awsinsider.bsky.social

4 months ago

AWS Details How to Pick Right AI Model with 360-Eval Framework -- AWSInsider AWS outlined a structured, metrics-based approach to choosing the right large language model for specific use cases, promoting its 360-Eval framework to replace informal “vibes-based” testing with dat...

AWS has released the new 360-Eval Framework, a structured and data-driven way to evaluate large language models. It helps teams move beyond “vibes-based” testing to compare models and make confident choices.

Read more: awsinsider.net/articles/202...

#AI #ModelSelection

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Chainforge Labs

@chainforge-ai.bsky.social

5 months ago

Chainforge Philosophy #1: The silver bullet "All-in-one” Model is a myth. 🦄 Every LLM has inevitable strengths & weaknesses based on its architecture & data. 🧭 #NoFreeLunch #ModelSelection #AIPhilosophy

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Hacker News Companion

@hncompanion.com

7 months ago

Users face growing complexity in model selection. GPT-5 offers regular, mini, and nano versions, each with four reasoning levels. This prompts questions: is it better to fine-tune prompts or switch between models/levels for optimal task performance? #ModelSelection 5/5

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Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements – Statistical Thinking Researchers have used contorted, inefficient, and arbitrary analyses to demonstrated added value in biomarkers, genes, and new lab measurements. Traditional statistical measures have always been up to...

7 months ago

#statstab #393 Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements [actual post]

Thoughts: #392 has the comments, but this is where the magic happens.

#modelselection #modelcomparison #variance #effectsize #tutorial

www.fharrell.com/post/addvalue/

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Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements This topic is for discussions about Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements

7 months ago

#statstab #392 Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements

Thoughts: Forums can be great for asking the author for exact answers to complex questions

#modelselection #causalinference #prediction #bias #information

discourse.datamethods.org/t/statistica...

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Stata | FAQ: Problems with stepwise regression What are some of the problems with stepwise regression?

9 months ago

#statstab #358 What are some of the problems with stepwise regression?

Thoughts: Model selection is not an easy task, but maybe don't naively try step wise reg.

#stepwise #regression #QRPs #issues #phacking #modelselection #bias

www.stata.com/support/faqs...

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#TimeSeries #Forecasting #ARIMA #MachineLearning #DataScience #Statistics #AutoARIMA #StatsForecast #Nixtla #M4Competition #ModelSelection #Econometrics #Python #RStats #JuliaLang #DataScientist #Analytics #BookLaunch #LearnSomethingNew

9 months ago

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#TimeSeries #Forecasting #ARIMA #MachineLearning #DataScience #Statistics #AutoARIMA #StatsForecast #Nixtla #M4Competition #ModelSelection #Econometrics #Python #RStats #JuliaLang #DataScientist #Analytics #BookLaunch #LearnSomethingNew

9 months ago

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#TimeSeries #Forecasting #ARIMA #MachineLearning #DataScience #Statistics #AutoARIMA #StatsForecast #Nixtla #M4Competition #ModelSelection #Econometrics #Python #RStats #JuliaLang #DataScientist #Analytics #BookLaunch #LearnSomethingNew

9 months ago

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Charlotte B.

@drfunkenstein.bsky.social

9 months ago

Easton's Nook | An Urban Writing and Arts Retreat Space Easton's Nook is an intimate urban writing and arts retreat space where scholars, artists, and activists can meet, and can pursue their work individually or as a part of small, supportive, collaborati...

Hands on #Statistics education! Registration is live for 4 virtual summer workshops in conjunction with eastonsnook.com. All welcome. #LongitudinalDataAnalysis #ModelSelection #SampleSize #ScaleDevelopment #GradSchool #AcademicSky #StatisticalProgramming #SAS #STATA #SPSS #MaybeR #MaybePy

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