Top Tweets for #SelectiveInference
In short:
FDR โ fixed linear prudence
sFDR โ adaptive concave prudence
When data scales, prudence must scale too.
Read the full post ๐ [Lien Substack]
#Statistics #FDR #DataScience #MachineLearning #Research #Concavity #MultipleTesting #SelectiveInference
๐ฅ #HotTopic #callforreading
๐ Variational Bayesian Variable Selection for High-Dimensional #Hidden_Markov_Models
๐ https://t.co/ohYyBjuJO8
๐ท๏ธ #SelectiveInference, #KnockoffFilters, #HighDimensionalData, #StatisticalMethods
@MDPIOpenAccess @ComSciMath_Mdpi

๐ฅ #HotTopic #callforreading
๐ Adaptive L0 #Regularization for Sparse #Support_Vector_Regression
๐ https://t.co/Fv1WQXcPNu
#SelectiveInference,
#HighDimensionalData,
#StatisticalMethods
@MDPIOpenAccess @ComSciMath_Mdpi

๐ฅ #HotTopic #callforreading
๐ Model Selection Path and Construction of #Model_Confidence_Set under High-Dimensional Variables
๐ https://t.co/NQLm2GqZhG
#SelectiveInference,
#KnockoffFilters,
#HighDimensionalData,
#StatisticalMethods
@MDPIOpenAccess @ComSciMath_Mdpi

๐ฅ #HotTopic #callforreading #review
๐ Overview of High-Dimensional Measurement Error Regression Models
๐ https://t.co/ekaiYmNIk4
#SelectiveInference;
#KnockoffFilters;
#High_DimensionalData;
#StatisticalMethods
@MDPIOpenAccess @ComSciMath_Mdpi

[Call for Papers] Special Issue "Algorithms for Streaming Data Analysis and Selective Inference"
Looking forward to receiving your contributions:
https://t.co/aNndpphDl6
#algorithms
#streaming
#dataanalysis
#selectiveinference
![Algorithms_MDPI's tweet photo. [Call for Papers] Special Issue "Algorithms for Streaming Data Analysis and Selective Inference"
Looking forward to receiving your contributions:
https://t.co/aNndpphDl6
#algorithms
#streaming
#dataanalysis
#selectiveinference https://t.co/aNXYtkOqBb](https://pbs.twimg.com/media/FD-QW8faAAAm_fP.png)
In our special #Reproducibility & #Replicability theme, Dr. Yoav Benjamini of @TelAvivUni argues that addressing #SelectiveInference is a missing statistical cornerstone of enhancing replicability. @of_sagol @victoriastodden
https://t.co/MMfmiuuzCP
This all started by checking the usual multiple testing assumptions with a histogram for MAGMA gene-level p-values, observing an unusual dip (see H-MAGMA below) for larger p-values (which really matter for #selectiveinference masking techniques https://t.co/CfBcKmqznj)
2/n

Something positive during a global pandemic - the #statistics community forming international seminars with recorded talks by incredible researchers that anyone can watch, such as the #selectiveinference seminar here https://t.co/FekqrTKlj1
My talk gives a gentle intro to our work with many plots and a simple running example. Recording available alongside talks by Benjamini, Candes, Fan, Ramdas, Bogdan, Janson, @weijie444, Carpentier and many more greats at https://t.co/pYGWfr3vCj
Paper at https://t.co/fyvHw2OjYV
Really enjoyed the recent talk ISSI talk by @wfithian introducing dBH w/ @lihua_lei_stat (can watch it here https://t.co/mpeKpmriJG) - the FDR contribution visualizations are incredibly informative #selectiveinference https://t.co/GtAdQVjtbg
Announcing new work with @lihua_lei_stat, which I will present tomorrow morning at 8:30am PDT at the ISSI seminar.
We introduce new technical machinery and a new class of multiple testing methods that provably control FDR with dependent p-values.

Very cool to see @CMU_Stats #STAMPS https://t.co/InItHn9oa6 launch this webinar series, similar in style to the #selectiveinference and #causualinference online seminar series #statistics #PhysicalSciences #AcademicTwitter https://t.co/DBrAqcxgHN https://t.co/sFZ8qyP8jP
๐ขWEBINAR ANNOUNCEMENT๐ข
Here at @CMU_Stats we are launching a new monthly webinar on statistical methods in the physical sciences!
Starting July 10, we will host talks at the intersection of statistics, ML and the physical sciences.
Interested?
https://t.co/Bm3M2AIvv4
or โคต๏ธ
What if I told you we can #selectiveinference
You cannot test a hypothesis on the same data that suggested it. That is all.
@joftius I would like to use the #selectiveinference package for stepwise regression! "stepwise" function has an "include" option, anything similar for "fs" function? https://t.co/fi1R9n5ytA
https://t.co/Q4dvjRhFjj
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