A Bayesian Dual Clustering Approach for Selecting Data and Parameter Granularities

Authors

Mingyung Kim (ORCID: https://orcid.org/0000-0002-3463-4023)
Raghuram Iyengar (ORCID: https://orcid.org/0000-0002-7999-302X)
Eric T. Bradlow (ORCID: https://orcid.org/0000-0002-4776-2323)

Institutions

The Ohio State University (US)
University of Pennsylvania (US)

Publication Details

Journal: Marketing Science
Published: 2026-03-26
DOI: https://doi.org/10.1287/mksc.2024.1018
Primary Topic: Bayesian Methods and Mixture Models
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

A Bayesian Dual Clustering Approach for Selecting Data and Parameter Granularities

Mingyung Kim, Raghuram Iyengar, Eric T. Bradlow

Mar 26, 2026

Marketing Science

Bayesian Methods and Mixture Models

article

A Bayesian Dual Clustering Approach for Selecting Data and Parameter Granularities

Mingyung Kim, Raghuram Iyengar, Eric T. Bradlow

March 26, 2026article en

Abstract

No abstract available for this paper.

Marketing Science

The Ohio State University (US), University of Pennsylvania (US)

Openalex Percentile: Top 8%

Bayesian Methods and Mixture Models

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Bayesian Dual Clustering Approach for Selecting Data and Parameter Granularities — Mingyung Kim, Raghuram Iyengar, et al. · Marketing Science (2026) | TGRS Research Map | TGRS