Michael Braun

7편

• Where A/B Testing Goes Wrong: How Divergent Delivery Affects What Online Experiments Cannot (and Can) Tell You About How Customers Respond to Advertising
  jm · 2024 · 인용 23 · Consumer Market Behavior and Pricing
• Transaction Attributes and Customer Valuation
  jmr · 2015 · 인용 26 · Customer churn and segmentation
• Scalable Rejection Sampling for Bayesian Hierarchical Models
  mksci · 2015 · 인용 7 · Markov Chains and Monte Carlo Methods
• Online Display Advertising: Modeling the Effects of Multiple Creatives and Individual Impression Histories
  mksci · 2013 · 인용 133 · Consumer Market Behavior and Pricing
• Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes
  mksci · 2011 · 인용 48 · Bayesian Methods and Mixture Models
• Modeling Customer Lifetimes with Multiple Causes of Churn
  mksci · 2010 · 인용 11 · Customer churn and segmentation
• Modeling the “Pseudodeductible” in Insurance Claims Decisions
  ms · 2006 · 인용 10 · Bayesian Methods and Mixture Models

• A5016264178Michael Braun · 7편 · ORCID · 대표 기록
• A5057010617BraunMichael · 0편 · ORCID 보유자의 이름 변형