Analisis Bayesian (A)
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Semester Learning Plan
Pertemuan 1
Intro to Bayesian Inference
Small problem short test - Bayes concepts
Pertemuan 2
Intro to Parameter as Variable
Small test - Parameter is treated as a variable
Pertemuan 3
Generating Sample of Parameters
Creating the RVG and RNG algorithm
Pertemuan 4
Bayesian Single Parameter Modeling
Creating the posterior of a single parameter model
Pertemuan 5
Bayesian Computation with WinBUGS
create posterior distribution of a single parameter model for assignment Using WinBUGS
Pertemuan 6
Bayesian Multi Parameter Modeling
Estimating multiple posterior parameters model
Pertemuan 7
Practicle and Quiz 1
QUIZ 1
Pertemuan 8
Bayesian Regression
Bayesian Regression
Pertemuan 9
Bayesian Regression non-Normal Response
Presentasi hasil penugasan pemodelan regresi dengan respon diskrit
Tugas Pengganti ETS Analisis Bayesian
Kandungan dan urutan narasi tugas pengganti ETS
Pertemuan 10
Pemilihan Model Terbaik
Beberapa sumber referensi untuk pemilihan model
Model Selection
Section 11
Mixture Gaussian Model
Bahan Bacaan Mixture Bayesian
Section 12
Lanjutan Mixture Gaussian dan Konsep Metropolis hasting
Bahan Bacaan Mixture Bayesian 2
Section 13
Simulate Mixture data dan metropolis hasting
Materi terkait MH
Section 14
metropolis hastirng for regression (student presentation)
Bahan bacaan MH untuk regresi
Section 15
Topik Khusus : Bayesian Model Averaging
File BMA
Penugasan project
Section 16
presentasi project akhir
Pengumpulan SLide Project Akhir
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Analisis Bayesian (A)
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Institut Teknologi Sepuluh Nopember
Magister
Fakultas Sains dan Analitika Data
S-2 STATISTIKA
Semester Genap 2019/2020
Analisis Bayesian (A)
Summary
Analisis Bayesian (A)
Teacher:
Heri Kuswanto
Teacher:
Nur Iriawan