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FISH 559: Numerical Computing for the Natural Sources

(Useful Readings)


1.  Abramowitz, M. and I.A. Stegun. 1970. Handbook of Mathematical
      Functions (with formulas, graphs, mathematical tables)
. Dover
      Publications, Inc., New York
2.  Burnham, K.P. and D.R. Anderson. 1998. Model Selection and
     Inference: A Practical Information-theoretic Approach
,  
     Springer-Verlag.
3.  Conte, S.D. and C. de Boor. 1965. Elementry Numerical Analysis:
     An Algorithmic Approach
. McGraw-Hill, Tokyo.
4. Gelman, A., Carlin, J.B., Stern, H.S. and D.B. Rubin. 1995. Bayesian
     Data Analysi
s. Chapman and Hall
5.  Linhart, H. and W. Zuchinni. 1986. Model Selection, John Wiley
6. Kristensen, K., Nielsen,  A., Berg, C.W., Skaug, H. and B.M. Bell.
    2016. TMB: Automatic Differentiation and Laplace Approximation.   
    Journal of Statistical Software 70:https://www.jstatsoft.org/article
     /view/v070i05
7.  Monnahan, C.C., Thorson, J.R., and T.A. Branch. 2017. Faster
     estimation of Bayesian models in ecology using Hamiltonian Monte
     Carlo. Methods in Ecology and Evolution 8: 229-48.
8. Monnahan, C.C., Branch, T.A., Thorson, J.R., Stewart, I.J. and C.S.
    Szuwalski. 2019. Overcoming long Bayesian run times in integrated  
   fisheries stock assessments. ICES Journal of Marine Science 76:
   1477-1488.
9.  Pinheiro, J.C. and D.M. Bates. 2000. Mixed-Effects Models in S and
     S-PLUS
. Springer, New York.
10.  Press, W.H., Flannery, B.P., Teukolsky, S.A. and W.T. Vetterling.
     1988. Numerical Recipes: The Art of Scientific Computing.
    Cambridge University Press, Cambridge.
11.  Roff, D.A. Introduction to Computer-Intensive Methjods of Data
     Analysis in Biology. Cambridge University Press.
12.  Venables, W.N. and B.D. Ripley. 2003. Modern Applied Statistics
     with S
. Spinger-Verlag.
13. Wagenmakers, E-J. and S. Farrell. 2004. AIC model selection using
      Akaike weights.Psychonomic Bulletin & Review 11: 192-6.
14. Zuur, A.F., Ieno, E.N, Walker, N.J., Saveliev, A.A. and G.M. Smith.
     Mixed Effects Models and Extensions in Ecology with R. Spinger

 

(Useful links)


R
1. The R project
2. Splus routines

3. Tom Short’s reference card

4. Vito Ricci’s R functions for regression analysis

5. Text editors for use with R
6. Installing ADMB on Max OSX


ADMB
1. ADMB Project

2. ADMB Documentation
3. Carolina's cheat sheet
4. CSIRO cheat sheet

 

Numerical methods
1. Numerical  recipes
2. Numerical methods
3. StatLib

 

 

 

(Installing R)


If you don't have R on your computer, visit the R project website, click 'R binaries', 'windows', 'base', and download the newest *.exe file. During setup, select components 1+3+5+6 (main, html, pdf, reference).

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