#modelcomparison
...have I been making my boobs bigger each iteration without thinking about it folks? I can't say for sure. What do y'all think? #TIV #VTuber #ModelComparison #Thenandnow
May 12, 2025 at 3:04 AM
#statstab #265 The limited epistemic value of ‘variation analysis’ (R^2)

Thoughts: Interesting post and comments on what we can and can't say from an r2 metric.

#stats #r2 #effectsize #variance #modelcomparison #models #causalinference

larspsyll.wordpress.com/2023/05/23/t...
The limited epistemic value of ‘variation analysis’
While appeal to R squared is a common rhetorical device, it is a very tenuous connection to any plausible explanatory virtues for many reasons. Either it is meant to be merely a measure of predicta…
larspsyll.wordpress.com
January 24, 2025 at 5:01 PM
#statstab #196 JASP Bayesian ANOVA

Thoughts: @JASPStats is used by researchers to "add some bayes factors" to their results. But, do you know what those actually reflect? Here is what their team says:

#bayes #bayesfactors #anova #modelcomparison

static.jasp-stats.org/about-bayesi...
JASP - A Fresh Way to do Statistics
static.jasp-stats.org
October 7, 2024 at 12:29 PM
#statstab #44 A note on the interpretation of incremental fit indices

Thoughts: A "good fit" is a meaningless statement. There are no rules of thumb 👍

#regression #stats #modelcomparison

www.tandfonline.com/doi/full/10....
Caught off Base: A Note on the Interpretation of Incremental Fit Indices
This note serves as a reminder that incremental fit indices are a form of standardized effect sizes and hence, all reservations with respect to interpretations of standardized effect sizes also tra...
www.tandfonline.com
March 7, 2024 at 6:11 PM
#statstab #359 A Pragmatic Approach to Statistical Testing and Estimation (PASTE)

Thought: A (basic) guide to some alternatives to p-values: bayesian posterior intervals, Bayes Factors, and AIC.

#NHST #pvalues #TOST #BayesFactor #AIC #modelcomparison

doi.org/10.1016/j.hp...
A Pragmatic Approach to Statistical Testing and Estimation (PASTE)
The p-value has dominated research in education and related fields and a statistically non-significant p-value is quite commonly interpreted as ‘confirming’ the null hypothesis (H0) of ‘equivalence’. ...
doi.org
June 5, 2025 at 5:36 PM
#statstab #171 Guideline of Selecting & Reporting Intraclass Correlation Coefficients for Reliability Research

Thoughts: "There are 10 forms of ICCs." Are you reporting the correct one? Find out!

#ICC #modelcomparison #reliability #interraterreliability

www.ncbi.nlm.nih.gov/pmc/articles...
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research
Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the con...
www.ncbi.nlm.nih.gov
September 2, 2024 at 3:28 PM
#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/
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...
www.fharrell.com
July 23, 2025 at 6:48 PM
#statstab #174 The Principle of Predictive Irrelevance

Thoughts: "when two competing models predict a data set equally well, that data set cannot be used to discriminate the models and the data set is evidentially irrelevant"

#modelcomparison #inference

www.bayesianspectacles.org/the-principl...
The Principle of Predictive Irrelevance, or Why Intervals Should Not be Used for Model Comparison Featuring a Point Null Hypothesis
This post summarizes Wagenmakers, E.-J., Lee, M. D., Rouder, J. N., & Morey, R. D. (2019). The principle of predictive irrelevance, or why intervals should not be used for model comparison feat…
www.bayesianspectacles.org
September 5, 2024 at 5:17 PM
Grok 3 matches top AI models in reasoning tasks, achieved in record development time by xAI
https://twitter.com/karpathy/status/1891720635363254772
#aidevelopment #llmtesting #technicalanalysis #modelcomparison #performanceevaluation
February 19, 2025 at 1:41 PM
Users find model preference subjective. GPT-5.2 shines for coding tasks, while Gemini is favored for its search integration & intuition. Choosing the right AI depends heavily on your specific individual use case. #ModelComparison 2/6
December 12, 2025 at 2:00 AM
Direct comparisons emerged: GPT-OSS-120B was benchmarked against models like Qwen, Mistral, and Gemma. Users provided data points to show how its performance stacks up against established alternatives in real-world scenarios. #ModelComparison 4/6
August 12, 2025 at 7:00 PM
Mistral 7B excels at everyday reasoning while OLMo2 7B shines in knowledge-intensive tasks. See how both perform in our (Un)Perplexed Spready software in our latest comparison! matasoft.hr/qtrendcontro...
#AIPowered #ModelComparison #BusinessIntelligence
March 5, 2025 at 4:13 PM
How to apply DM in Python (code included)
#ModelComparison #DataScience #Forecasting #timeseries
August 9, 2025 at 4:30 PM