section 1 Example 1 -- linear least-squares

section 2 The DATA SECTION

section 3 The Parameter Section

section 4 The Procedure Section

section 5 The Preliminary Calcs Section

section 6 The use of loops and element-wise operations

section 7 The default output from AD Model Builder

section 8 Robust Nonlinear regression with AD Model Builder

section 9 Modifying the model to use robust nonlinear regression

section 10 Chemical engineering -- a chemical kinetics problem

section 11 Financial Modelling -- A Generalized Autoregressive Conditional hboxHeteroskedasticity or GARCH model

section 12 Carrying out the minimization in a number of phases

section 13 Natural resource management -- the Schaeffer-Pella-Tomlinson Model

section 14 Bayesian considerations in the Pella--Tomlinson model

section 15 Using FUNCTIONS to improve code organization

section 16 A fisheries catch-at-age model

section 17 Bayesian inference and the profile likelihood

section 18 Modifying the approximation of the profile likelihood

section 19 Changing the default file names for data and parameter input

section 20 Using the subvector operation to avoid writing loops

section 21 The use of higher dimensional arrays

section 22 The TOP_OF_MAIN section

section 23 The GLOBALS_SECTION

section 24 The BETWEEN_PHASES_SECTION

section 1 Introduction to the Markov Chain Monte Carlo approach in Bayesian Anaylsis

section 2 Reading AD Model Builder binary files

section 1 Model description

section 2 The numerical integration routine

section 3 Using the ad_begin_funnel routine to reduce the amount of temporary storage required

section 4 Effect of the accuracy switch on the running time for numerical integration

section 5 A comparison with Splus for the forestry model

section 1 Anaylsis of economic data from Hamilton's 1989 paper

section 2 The code for Hamilton's fourth order autoregressive model

section 3 Results of the analysis

section 4 Extending Hamilton's model to a fifth order autoregressive process

section 1 Using other class libraries in AD Model Builder programs

section 2 Appendix 1 -- The regression function

section 3 Appendix 2 -- AD Model Builder types

section 4 References

section 5 How to order AD Model Builder