Seguir
Dwi Rantini
Dwi Rantini
Dirección de correo verificada de mhs.its.ac.id
Título
Citado por
Citado por
Año
On the reversible jump Markov Chain Monte Carlo (Rjmcmc) algorithm for extreme value mixture distribution as a location-scale transformation of the weibull distribution
D Rantini, N Iriawan, Irhamah
Applied Sciences 11 (16), 7343, 2021
62021
Fernandez–Steel Skew Normal Conditional Autoregressive (FSSN CAR) Model in Stan for Spatial Data
D Rantini, N Iriawan, Irhamah
Symmetry 13 (4), 545, 2021
32021
Bayesian Mixture Generalized Extreme Value Regression with Double-Exponential CAR Frailty for Dengue Haemorrhagic Fever in Pamekasan, East Java, Indonesia
D Rantini, N Iriawan
Journal of Physics: Conference Series 1752 (1), 012022, 2021
32021
On the computational Bayesian survival spatial DHF modelling with CAR frailty
D Rantini, NLPI Candrawengi, N Iriawan, I Irhamah, M Rusli
AIP Conference Proceedings 2329 (1), 2021
22021
On the computational Bayesian survival spatial dengue hemorrhagic fever (DHF) modeling with double-exponential CAR frailty
D Rantini, MN Abdullah, N Iriawan, M Rusli
Journal of Physics: Conference Series 1722 (1), 012042, 2021
22021
Quantile Regression Neural Network Model For Forecasting Consumer Price Index In Indonesia
D Rantini, MAD Octavanny, R Kruba, H Kuswanto, K Fithriasari
Inferensi 1 (1), 39-43, 2018
22018
Predicting Popularity of Movie Using Support Vector Machines
D Rantini, R Inas, SW Purnami
Inferensi 2 (1), 13-17, 2019
12019
On the computational Bayesian survival spatial Dengue hemorrhagic fever (DHF) modelling with Fernandez–steel skew normal conditional autoregressive (FSSN CAR) frailty
D Rantini, N Iriawan, I Irhamah, M Rusli
AIP Conference Proceedings 2536 (1), 2023
2023
Pemodelan Mixture Survival Spasial Conditionally Autoregressive dengan Bayesian Reversible Jump Markov Chain Monte Carlo pada Kasus Demam Berdarah Dengue
D Rantini
Institut Teknologi Sepuluh Nopember, 2022
2022
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–9