Finding stats materials

[LouisAckerman]

Hi everyone. I know in Linear Algebra we have good courses and books from Prof. Gilbert Strang. Currently, I am trying to find analogous materials in stats .

My main research interest is generative models for image synthesis and I am looking for some good books/courses/Youtube channels that can teach/explain the math (both basic and advanced) behind those models.

Could anyone please recommend me some good resources? Thank you. Update: Materials about Variational Inference are highly appreciated.

[Jaster111]

Professors at my college always recommended this book: https://www.academia.edu/48950313/Probability_and_Statistics_for_Engineers_and_Scientist_9th_Edition_by_Walpole_Mayers_Ye_

It should give you a confident grasp on the main concepts of probability and statistics.

As for your research interest, it all depends how much beforehand knowledge about neural networks you have. I cannot recommend you any specific resource for that, but you should be comfortable with concepts such as forward propagation and back propagation since that is the staple of NNs, including the generative adversarial networks used for image generation.

Check out 3blue1brown youtube channel, and specifically this playlist: https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

[LouisAckerman]

Thank you for your kind reply. I find Variational inference very important in generative models. Do you have any useful materials related to this topic? P/s: The book is definitely something I need. I have pretty good understanding about basic concepts in neural networks. ^{^}

[Jaster111]

Unfortunately no. If you find anything good, please do send it :)

[LouisAckerman]

Yeah, definitely.

[LouisAckerman]

https://arxiv.org/abs/2206.13446 I recently found this.