%PDF-1.5 % 1 0 obj << /S /GoTo /D (section.1) >> endobj 4 0 obj (1 Introduction) endobj 5 0 obj << /S /GoTo /D (section.2) >> endobj 8 0 obj (2 Installing Apollo) endobj 9 0 obj << /S /GoTo /D (section.3) >> endobj 12 0 obj (3 Empirical example setup) endobj 13 0 obj << /S /GoTo /D (subsection.3.1) >> endobj 16 0 obj (3.1 Data) endobj 17 0 obj << /S /GoTo /D (subsection.3.2) >> endobj 20 0 obj (3.2 Model specification) endobj 21 0 obj << /S /GoTo /D (section.4) >> endobj 24 0 obj (4 Hybrid choice model example: classical estimation) endobj 25 0 obj << /S /GoTo /D (subsection.4.1) >> endobj 28 0 obj (4.1 Code initialisation) endobj 29 0 obj << /S /GoTo /D (subsection.4.2) >> endobj 32 0 obj (4.2 Reading and processing the data) endobj 33 0 obj << /S /GoTo /D (subsection.4.3) >> endobj 36 0 obj (4.3 Model parameters) endobj 37 0 obj << /S /GoTo /D (subsection.4.4) >> endobj 40 0 obj (4.4 Draws and random parameters) endobj 41 0 obj << /S /GoTo /D (subsection.4.5) >> endobj 44 0 obj (4.5 Validation and preparing user inputs) endobj 45 0 obj << /S /GoTo /D (subsection.4.6) >> endobj 48 0 obj (4.6 Likelihood component: the apollo\137probabilities function) endobj 49 0 obj << /S /GoTo /D (subsubsection.4.6.1) >> endobj 52 0 obj (4.6.1 Initialisation) endobj 53 0 obj << /S /GoTo /D (subsubsection.4.6.2) >> endobj 56 0 obj (4.6.2 Model definition) endobj 57 0 obj << /S /GoTo /D (subsubsection.4.6.3) >> endobj 60 0 obj (4.6.3 Function output) endobj 61 0 obj << /S /GoTo /D (subsection.4.7) >> endobj 64 0 obj (4.7 Model estimation) endobj 65 0 obj << /S /GoTo /D (subsubsection.4.7.1) >> endobj 68 0 obj (4.7.1 Deciding on number of cores and draws) endobj 69 0 obj << /S /GoTo /D (subsubsection.4.7.2) >> endobj 72 0 obj (4.7.2 Actual model estimation) endobj 73 0 obj << /S /GoTo /D (subsection.4.8) >> endobj 76 0 obj (4.8 Model outputs) endobj 77 0 obj << /S /GoTo /D (subsection.4.9) >> endobj 80 0 obj (4.9 Processing of results) endobj 81 0 obj << /S /GoTo /D (subsubsection.4.9.1) >> endobj 84 0 obj (4.9.1 Delta method) endobj 85 0 obj << /S /GoTo /D (subsubsection.4.9.2) >> endobj 88 0 obj (4.9.2 Model predictions) endobj 89 0 obj << /S /GoTo /D (subsubsection.4.9.3) >> endobj 92 0 obj (4.9.3 Summary of random heterogeneity) endobj 93 0 obj << /S /GoTo /D (subsubsection.4.9.4) >> endobj 96 0 obj (4.9.4 Posterior distributions) endobj 97 0 obj << /S /GoTo /D (section.5) >> endobj 100 0 obj (5 Extension to Bayesian estimation) endobj 101 0 obj << /S /GoTo /D (section.6) >> endobj 104 0 obj (6 Additional functionalities) endobj 105 0 obj << /S /GoTo /D (subsection.6.1) >> endobj 108 0 obj (6.1 Additional pre-estimation tools) endobj 109 0 obj << /S /GoTo /D (subsection.6.2) >> endobj 112 0 obj (6.2 Additional model structures) endobj 113 0 obj << /S /GoTo /D (subsection.6.3) >> endobj 116 0 obj (6.3 Other heterogeneity) endobj 117 0 obj << /S /GoTo /D (subsubsection.6.3.1) >> endobj 120 0 obj (6.3.1 Intra-individual heterogeneity) endobj 121 0 obj << /S /GoTo /D (subsubsection.6.3.2) >> endobj 124 0 obj (6.3.2 Discrete mixtures and latent class) endobj 125 0 obj << /S /GoTo /D (subsection.6.4) >> endobj 128 0 obj (6.4 Additional post-estimation tools) endobj 129 0 obj << /S /GoTo /D (section.7) >> endobj 132 0 obj (7 Summary) endobj 133 0 obj << /S /GoTo /D (section.8) >> endobj 136 0 obj (8 Acknowledgments) endobj 137 0 obj << /S /GoTo /D [138 0 R /Fit] >> endobj 146 0 obj << /Length 3343 /Filter /FlateDecode >> stream xڥZIQ(3x0cchN!%BRMoK"=_{KM<q]/SeH4 A8O<"-*)Kov{4b-ɢ0p(mV"Q&96~l=w{<7/ Oٮ2N}[qpAF6>9+qt쵊J%A姾>mOTNnwTvnC=3z nHST*؛"0vx\w7 s2nMTj$1/O(aڝÏu=۴%Yeuܺft%i +ܤ=^*W:]eTf:3L8u"8N=Lڟ-UFJpByxt Qq̋$ݸa䱓Qo;ZUԩxb ó6>ڕÈ,+ VeÞuLCBI/}^Us#rbuyeaNZ,fqqHw}릡>\F5He"3dRI8~fp[G>3ɂxB H yt]