A general advise would be going online on university statistics department websites and on individual class pages and looking at their recommended textbooks. Here is the graduate level probability class website from UC Berkeley: https://www.stat.berkeley.edu/~aldous/205A/index.html
Here is the graduate level statistics class website from UC Berkeley: https://www.stat.berkeley.edu/~wfithian/courses/stat210a/
Here are some textbooks for statistical modeling:
• Freedman, D.A., 2009. Statistical Models: Theory and Practice, Cambridge University Press, ISBN 978-0521743853
• Freedman, D.A., 2009. Statistical Models and Causal Inference: A Dialogue with the Social Sciences, Cambridge University Press, ISBN 978-0521123907
For linear algebra theory (assuming you are comfortable with matrix operations and already know some of the definitions):
S. H. Friedberg, A. J. Insel, and L. E. Spence, Linear Algebra, 4th edition, Prentice Hall, 2002
Disclaimer: I just graduated from UC Berkeley and am biased towards our programs.