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https://patch-diff.githubusercontent.com/mstack-space/Statistics_notes#cheatsheets
http://www.wzchen.com/probability-cheatsheetбhttp://www.wzchen.com/probability-cheatsheet%D0%B1
https://github.com/wzchen/probability_cheatsheethttps://github.com/wzchen/probability_cheatsheet
https://lindeloev.github.io/tests-as-linear/https://lindeloev.github.io/tests-as-linear/
https://patch-diff.githubusercontent.com/mstack-space/Statistics_notes#repositories
https://github.com/dimenwarper/awesome-bayeshttps://github.com/dimenwarper/awesome-bayes
https://m-clark.github.io/bayesian-basics/https://m-clark.github.io/bayesian-basics/
https://github.com/m-clark/bayesian-basicshttps://github.com/m-clark/bayesian-basics
https://github.com/harrelfe/bbrhttps://github.com/harrelfe/bbr
https://www.youtube.com/channel/UC-o_ZZ0tuFUYn8e8rf-QURAhttps://www.youtube.com/channel/UC-o_ZZ0tuFUYn8e8rf-QURA
https://github.com/waldronlab/BIOS2https://github.com/waldronlab/BIOS2
https://github.com/StatsWithR/bookhttps://github.com/StatsWithR/book
https://www.anotherbookondatascience.com/https://www.anotherbookondatascience.com/
https://github.com/rnorm/book_samplehttps://github.com/rnorm/book_sample
https://github.com/broadenyourstatisticalhorizons/bysh_bookhttps://github.com/broadenyourstatisticalhorizons/bysh_book
https://bookdown.org/roback/bookdown-bysh/https://bookdown.org/roback/bookdown-bysh/
https://ourcodingclub.github.io/tutorials/mixed-models/https://ourcodingclub.github.io/tutorials/mixed-models/
https://github.com/ourcodingclub/CC-Linear-mixed-modelshttps://github.com/ourcodingclub/CC-Linear-mixed-models
http://www.lithoguru.com/scientist/statistics/course.htmlhttp://www.lithoguru.com/scientist/statistics/course.html
https://www.youtube.com/playlist?list=PLM2eE_hI4gSDnF-mEa9mrIYx7GCLQVN89https://www.youtube.com/playlist?list=PLM2eE_hI4gSDnF-mEa9mrIYx7GCLQVN89
https://github.com/jbryer/DATA606Spring2017https://github.com/jbryer/DATA606Spring2017
http://www.feat.engineering/http://www.feat.engineering/
https://github.com/topepo/FES(https://github.com/topepo/FES)https://github.com/topepo/FES(https://github.com/topepo/FES)
https://stephens999.github.io/fiveMinuteStats/https://stephens999.github.io/fiveMinuteStats/
https://github.com/stephens999/fiveMinuteStats.githttps://github.com/stephens999/fiveMinuteStats.git
https://github.com/johnros/Intro2Rhttps://github.com/johnros/Intro2R
http://www-bcf.usc.edu/~gareth/ISL/http://www-bcf.usc.edu/~gareth/ISL/
https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/
https://www.alsharif.info/iom530https://www.alsharif.info/iom530
http://www.fast.ai/2017/07/17/num-lin-alg/http://www.fast.ai/2017/07/17/num-lin-alg/
https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hYhttps://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY
https://github.com/fastai/numerical-linear-algebrahttps://github.com/fastai/numerical-linear-algebra
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pythonhttps://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python
https://www.openintro.orghttps://www.openintro.org
https://github.com/OpenIntroOrg/openintro-statisticshttps://github.com/OpenIntroOrg/openintro-statistics
https://www.youtube.com/user/bleue894/playlistshttps://www.youtube.com/user/bleue894/playlists
https://github.com/OpenIntroStat/openintro-statistics-slideshttps://github.com/OpenIntroStat/openintro-statistics-slides
https://github.com/johnros/practicing_Rhttps://github.com/johnros/practicing_R
https://github.com/johnros/PractitionerGuidetoMultiplicityhttps://github.com/johnros/PractitionerGuidetoMultiplicity
https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackershttps://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
https://github.com/rmcelreath/rethinkinghttps://github.com/rmcelreath/rethinking
Andrew Gelman's note about the bookhttps://andrewgelman.com/2016/01/15/mcelreaths-statistial-rethinking-a-bayesian-course-with-examples-in-r-and-stan/
Video lectureshttps://www.youtube.com/watch?v=kSgqH_eD1-0&list=PLDcUM9US4XdM9_N6XUUFrhghGJ4K25bFc
https://github.com/rmcelreath/statrethinking_winter2019https://github.com/rmcelreath/statrethinking_winter2019
https://github.com/lwaldron/Statistical-Rethinkinghttps://github.com/lwaldron/Statistical-Rethinking
https://github.com/jarad/stat401Ahttps://github.com/jarad/stat401A
http://www.jarad.me/courses/http://www.jarad.me/courses/
http://biodatascience.github.io/statcomphttp://biodatascience.github.io/statcomp
https://github.com/biodatascience/statcomphttps://github.com/biodatascience/statcomp
https://github.com/biodatascience/statcomp_srchttps://github.com/biodatascience/statcomp_src
http://statsthinking21.org/http://statsthinking21.org/
https://github.com/psych10/thinkstatshttps://github.com/psych10/thinkstats
https://winvector.github.io/https://winvector.github.io/
https://github.com/WinVector/WinVector.github.io/https://github.com/WinVector/WinVector.github.io/
http://www.stat.cmu.edu/~cshalizi/350/http://www.stat.cmu.edu/~cshalizi/350/
https://patch-diff.githubusercontent.com/mstack-space/Statistics_notes#courses
Bayesian Computing Coursehttps://github.com/fonnesbeck/Bayes_Computing_Course
https://github.com/avehtari/BDA_course_Aaltohttps://github.com/avehtari/BDA_course_Aalto
https://web.stanford.edu/class/cs229t/https://web.stanford.edu/class/cs229t/
https://github.com/svkerr/Statistics_Class_Princetonhttps://github.com/svkerr/Statistics_Class_Princeton
Peter Ralphhttp://ralphlab.usc.edu/
https://github.com/petrelharp/bisc305https://github.com/petrelharp/bisc305
https://stat545-ubc.github.io/https://stat545-ubc.github.io/
https://github.com/STAT545-UBC/STAT545-UBC.github.iohttps://github.com/STAT545-UBC/STAT545-UBC.github.io
Course overviewhttps://cs109.github.io/2015/
Videoshttps://cs109.github.io/2015/pages/videos.html
Git repositoryhttps://github.com/cs109/2015
All course-related material on Githubhttps://github.com/cs109
http://civil.colorado.edu/~balajir/CVEN6833/http://civil.colorado.edu/~balajir/CVEN6833/
https://patch-diff.githubusercontent.com/mstack-space/Statistics_notes#videos
https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3khttps://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k
https://www.youtube.com/playlist?list=PLwJRxp3blEvZ8AKMXOy0fc0cqT61GsKCGhttps://www.youtube.com/playlist?list=PLwJRxp3blEvZ8AKMXOy0fc0cqT61GsKCG
https://discourse.mc-stan.org/t/bayesian-class-videos/3173https://discourse.mc-stan.org/t/bayesian-class-videos/3173
http://rpubs.com/cbchisanga/143127http://rpubs.com/cbchisanga/143127
https://www.youtube.com/watch?v=WkOinijQmPU&list=PLpl-gQkQivXiBmGyzLrUjzsblmQsLtkzJhttps://www.youtube.com/watch?v=WkOinijQmPU&list=PLpl-gQkQivXiBmGyzLrUjzsblmQsLtkzJ
https://github.com/bcaffo/LittleInferenceBookhttps://github.com/bcaffo/LittleInferenceBook
https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIohttps://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo
https://twitter.com/stat110/status/1101502622358556674https://twitter.com/stat110/status/1101502622358556674
https://patch-diff.githubusercontent.com/mstack-space/Statistics_notes#books
Forecasting: Principles and Practicehttps://otexts.com/fpp2/
Tweethttps://twitter.com/seandavis12/status/1267865789396406272?s=20
http://vmls-book.stanford.edu/http://vmls-book.stanford.edu/
vmls.pdfhttp://vmls-book.stanford.edu/vmls.pdf
examples in Juliahttp://vmls-book.stanford.edu/vmls-julia-companion.pdf
https://bookdown.org/rdpeng/advstatcomp/https://bookdown.org/rdpeng/advstatcomp/
https://www.huber.embl.de/msmb/index.htmlhttps://www.huber.embl.de/msmb/index.html
https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/
http://xcelab.net/rm/statistical-rethinking/http://xcelab.net/rm/statistical-rethinking/
https://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_zhttps://www.youtube.com/playlist?list=PLDcUM9US4XdMdZOhJWJJD4mDBMnbTWw_z
An Introduction to Statistical Learninghttp://www-bcf.usc.edu/~gareth/ISL/
https://github.com/asadoughi/stat-learninghttps://github.com/asadoughi/stat-learning
http://heather.cs.ucdavis.edu/probstatbookhttp://heather.cs.ucdavis.edu/probstatbook
Web-pagehttps://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/book.html
PDFhttps://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf
Book, PDFhttp://www.omniascience.com/scholar/index.php/scholar/issue/view/19
Git with corresponding codehttps://github.com/jmsallan/linearprogramming
http://personality-project.org/r/book/http://personality-project.org/r/book/
http://personality-project.org/revelle/syllabi/405.syllabus.htmlhttp://personality-project.org/revelle/syllabi/405.syllabus.html
https://cran.r-project.org/web/packages/psych/index.htmlhttps://cran.r-project.org/web/packages/psych/index.html
https://livebook.datascienceheroes.com/https://livebook.datascienceheroes.com/
https://patch-diff.githubusercontent.com/mstack-space/Statistics_notes#misc
Introduction to linear mixed modelshttps://ourcodingclub.github.io/tutorials/mixed-models/
GitHubhttps://github.com/ourcodingclub/CC-Linear-mixed-models
http://www.cs.ubc.ca/~murphyk/Bayes/bnintro.htmlhttp://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html
https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackershttps://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
https://github.com/avehtari/BDA_py_demoshttps://github.com/avehtari/BDA_py_demos
http://deeplearning4j.org/eigenvectorhttp://deeplearning4j.org/eigenvector
https://github.com/markdregan/Bayesian-Modelling-in-Pythonhttps://github.com/markdregan/Bayesian-Modelling-in-Python
http://alexanderetz.com/understanding-bayes/http://alexanderetz.com/understanding-bayes/
https://blog.methodsconsultants.com/posts/how-to-do-mediation-scientifically/https://blog.methodsconsultants.com/posts/how-to-do-mediation-scientifically/
Calculus resourceshttps://brohrer.github.io/calculus_resources.html
Python resourceshttps://brohrer.github.io/python_resources.html
Linear algebra resourceshttps://brohrer.github.io/linear_algebra_resources.html
Sourcehttps://twitter.com/_brohrer_/status/1163423524079452163?s=03
Readme https://patch-diff.githubusercontent.com/mstack-space/Statistics_notes#readme-ov-file
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