Cover Image

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ng, Edwin, Wang, Zhishi, Dai, Athena
Format:	Preprint
Published:	2021
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

svc: An R package for Spatially Varying Coefficient Models
by: Akuoko-Frimpong, Justice, et al.
Published: (2025)

Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
by: Lu, Yu, et al.
Published: (2026)

Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity
by: Zhang, Wei, et al.
Published: (2021)

A Bayesian Approach for Inference on Mixed Graphical Models
by: Florez, Mauro, et al.
Published: (2025)

BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models
by: Wu, Yutong, et al.
Published: (2024)

Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
by: Ding, Feng, et al.
Published: (2024)

Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)

Advances in Bayesian Modeling: Applications and Methods
by: Yan, Yifei, et al.
Published: (2025)

A Bayesian Integrative Mixed Modeling Framework for Analysis of the Adolescent Brain and Cognitive Development Study
by: Neher, Aidan, et al.
Published: (2025)

Scalable Decisions using a Bayesian Decision-Theoretic Approach
by: Ng, Hoiyi, et al.
Published: (2026)

Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients
by: Meng, Jingcheng, et al.
Published: (2024)

Bayesian Cointegrated Panels in Digital Marketing
by: Carranza-Sánchez, Juan David, et al.
Published: (2024)

Two Stage Least Squares with Time-Varying Instruments: An Application to an Evaluation of Treatment Intensification for Type-2 Diabetes
by: Tompsett, Daniel, et al.
Published: (2024)

Bayesian Matrix Factor Models for Demographic Analysis Across Age and Time
by: Zens, Gregor
Published: (2025)

Bayesian Mixed Multidimensional Scaling for Auditory Processing
by: Rebaudo, Giovanni, et al.
Published: (2022)

Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)

Functional Time Transformation Model with Applications to Digital Health
by: Ghosal, Rahul, et al.
Published: (2024)

Bayesian Hierarchical Modeling for Bivariate Multiscale Spatial Data with Application to Blood Test Monitoring
by: Zhou, Shijie, et al.
Published: (2023)

Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)

What Influences the Field Goal Attempts of Professional Players? Analysis of Basketball Shot Charts via Log Gaussian Cox Processes with Spatially Varying Coefficients
by: Cao, Jiahao, et al.
Published: (2025)

A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
by: Katz, Harrison, et al.
Published: (2023)

Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
by: Yu, Jiaxin, et al.
Published: (2024)

Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)

Modelling Loss of Complexity in Intermittent Time Series and its Application
by: Li, Jie, et al.
Published: (2024)

Distribution-Free Prediction Bands for Multivariate Functional Time Series: an Application to the Italian Gas Market
by: Diquigiovanni, Jacopo, et al.
Published: (2021)

Elastic Bayesian Model Calibration
by: Francom, Devin, et al.
Published: (2023)

Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models
by: Akinfenwa, Oluwayomi, et al.
Published: (2024)

A Bayesian Proportional Mean Model Using Panel Binary Data-An Application to Health and Retirement Study
by: Hariharan, Pavithra, et al.
Published: (2025)

A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
by: Erlandson, Brody, et al.
Published: (2026)

Mixed Time Series Quasi-Likelihood Models for Uncovering Covid-19 Viral Load and Mortality Dynamics
by: Wu, Kejin, et al.
Published: (2026)

Quantifying Time-Varying Physical Activity Intervention Effects via Functional Regression
by: Pai, Nidhi, et al.
Published: (2026)

Influence Networks: Bayesian Modeling and Diffusion
by: Sánchez-Gutiérrez, Samuel, et al.
Published: (2024)

Beyond Linearity and Time-Homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
by: Boschi, Martina, et al.
Published: (2025)

Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
by: Baghfalaki, Taban, et al.
Published: (2025)

A Bayesian Hierarchical Hurdle Beta-Binomial Model for Survey-Weighted Bounded Counts and Its Application to Childcare Enrollment
by: Lee, JoonHo
Published: (2026)

Bayesian Modeling and Prediction of Generalized Contact Matrices
by: Dan, Shozen, et al.
Published: (2026)

Modeling EEG Spectral Features through Warped Functional Mixed Membership Models
by: Landry, Emma, et al.
Published: (2024)

The Multiplex $p_2$ Model: Mixed-Effects Modeling for Multiplex Social Networks
by: Hong, Anni, et al.
Published: (2024)

Bayesian Model Selection with an Application to Cosmology
by: Gigiberia, Nikoloz
Published: (2025)

Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
by: Bhuyan, Prajamitra, et al.
Published: (2026)