Luis Tenorio is a faculty member in the Applied Mathematics and Statistics Department at the Colorado School of Mines. He obtained his PhD in mathematics at the University of California at Berkeley and worked on inverse problems in astrophysics as a member of George Smoot's astrophysics group in the Lawrence Berkeley National Laboratory. His main research interests are the statistical aspects of inverse problems with applications to astrophysics and geophysics.

• Chapter 1: An introduction to inverse problems; Chapter 2: A primer on statistical methods; Chapter 3: Applications to inverse problems I; Chapter 4: Applications to inverse problems II; Chapter 5: A nonlinear parameter estimation problem; Appendix A: Some results from analysis; Appendix B: Conditional probability and expectation.

Luis Tenorio is a faculty member in the Applied Mathematics and Statistics Department at the Colorado School of Mines. He obtained his PhD in mathematics at the University of California at Berkeley and worked on inverse problems in astrophysics as a member of George Smoot's astrophysics group in the Lawrence Berkeley National Laboratory. His main research interests are the statistical aspects of inverse problems with applications to astrophysics and geophysics.

• Chapter 1: An introduction to inverse problems; Chapter 2: A primer on statistical methods; Chapter 3: Applications to inverse problems I; Chapter 4: Applications to inverse problems II; Chapter 5: A nonlinear parameter estimation problem; Appendix A: Some results from analysis; Appendix B: Conditional probability and expectation.

Luis Tenorio is a faculty member in the Applied Mathematics and Statistics Department at the Colorado School of Mines. He obtained his PhD in mathematics at the University of California at Berkeley and worked on inverse problems in astrophysics as a member of George Smoot's astrophysics group in the Lawrence Berkeley National Laboratory. His main research interests are the statistical aspects of inverse problems with applications to astrophysics and geophysics.

• Chapter 1: An introduction to inverse problems; Chapter 2: A primer on statistical methods; Chapter 3: Applications to inverse problems I; Chapter 4: Applications to inverse problems II; Chapter 5: A nonlinear parameter estimation problem; Appendix A: Some results from analysis; Appendix B: Conditional probability and expectation.