Linear Algebra and Differential Equations

Spring 2004

Biostat_Term.htm Biostatistics Terminology

Biostat_Term.doc Biostatistics Terminology

Handout1B.htm Basic Notions

Handout1B.doc Basic Notions

Handout2B.htm Linear Transformations

Handout2B.doc Linear Transformations

Handout3B.htm Random Variables

Handout3B.doc Random Variables

Handout4B.htmThe statistical inverse problem

Handout4B.docThe statistical inverse problem

Handout5B.htmHow matrix products arise

Handout5B.docHow matrix products arise

Handout6B.htmKernel and image in biology

Handout6B.docKernel and image in biology

Handout7B.htmMore about Bayesian statistics

Handout7B.docMore about Bayesian statistics

Handout8B.htmDimensions and coordinates in a scientific context

Handout8B.docDimensions and coordinates in a scientific context

Handout9B.htmCommon probability functions

Handout9B.docCommon probability functions

Handout10B.htm Binomial and Poisson applications

Handout10B.docBinomial and Poisson applications

Handout11B.doc Continuous probability functions

Handout12B.doc Determinants

Handout12B.htm Binomial and Poisson applications

Handout13B.doc Eigenvalues in biology

Handout13B.htm Binomial and Poisson applications

Handout14B.docMore about Markov matrices

Handout14B.htmMore about Markov matrices

Handout15B.doc Hypothesis Testing

Handout15B.htmHypothesis Testing

Handout16B.doc Markov matrices and complex eigenvalues

Handout16B.htm Markov matrices and complex eigenvalues

Handout17B.doc Symmetric matrices and data sets

Handout17B.htm Symmetric matrices and data sets

section8.3.pdf Otto Bretscher's handout on dynamical systems