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Topics could include:
- Bayesian model selection
- Bayesian model averaging
- Stepwise regression vs likelihood ratio tests
- Diagnostics for glms and other models where the residuals are expecte…
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I have read that a good rule of thumb for the Cox PH model is to use no more than 1 variable per 10 events (or some even say 15 events). Is there any way to limit the number of variables included in a…
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If we can find out the way to bring down the correlation between variables, the variances of the trees are supposed to be brought down as well. Therefore, the better performance is resulted.
How do…
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我尝试借助statsmodels库里封装的逻辑回归，以aic为criteria，自己写了lr的stepwise regression，发现与toad的stepwise中得出的最终结果不一致，最后发现用toad筛选出的模型的aic与statsmodels中计算得到的aic值不同。
在看过源码后，发现selection.py中StatsModel的loglikelihood计算方法是统一用了ms…
NKNaN updated
8 months ago
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`stepwise_regression` selects a model and passes it to generate top ranked differential expression gene lists.
There are cases where covariates are not independent and therefore, need to be exclud…
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- Matern covariance functions for GP effects / trends
- 2d FFT GPs (or even 1d) for complex but stationary GP effects (https://arxiv.org/pdf/2301.08836.pdf)
- Multivariate normal observation models
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Recently, I read your paper "A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for…
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It would be a good idea to reformulate and critically think about the "Optional Section".
For instance, the current version instructs "Stepwise regression": an approach that has been highly critici…
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I am comparing a lot of ME models (backward regression), and I use the 'doParallel' package to compute many reduced models for comparison at the same time. When I use lmer() everything is fine, but wh…
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Dear Ninon,
I encounter an error message when I running bGWAS v1.0.2.. I tried to run your provided data without any modification. However, when I run the below code, there is always an error: ! C…