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Zhongming Jiang

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Statistical Modeling XIII - The Formulation of Model-Ready Panel Data Frame (PDF) by Time-Series Imputation and Cross-Sectional Feature Engineering
Statistical Modeling XII - Advanced Data Manipulation and Feature Engineering Towards A Comprehensive Version of X
Statistical Modeling XI a - Recency Mapping, Logarithmic Transformation and Adjusted Min-Max Normalization on Outcome Data, Reversal Function and Proof of Injectivity, Customer-Level, Project-Level, and Customer/Project Grouped-Level Covariate Data
Statistical Modeling X - Bayesian Hierarchical Dynamic Multi-Outcome Model With Counterfactual Trend Analysis & ATT Estimation With Staggered Adoption
Statistical Modeling IX - Time-Series Cross-Sectional Data with Staggered Adoption
Statistical Modeling VII a - Covariate Project Data Manipulation
Statistical Modeling IV - Unsupervised Learning for RFM Clustering with K-Means and Gaussian Mixture Modeling
Statistical Modeling III - Panel View and Supervised Learning for RFM Score Ranking Classification
Statistical Modeling II - Visualization of Causal Panel Analysis on CRM Data
Statistical Modeling I - Bayesian Synthetic Control With Different Latent Factor Models on Germany Reunification
Reconciliation Analysis III - Binary Logistic Regression Modeling of the Dynamic Reconciliation Perspective in Customer Lifetime Value
Reconciliation Analysis II - Density-based Estimation of Suspicious Promotions and Pseudo-stochastic Selection of Emblematic Non-reconcilable Dynamics
Reconciliation Analysis I - Modeling and Extracting Emblematic Non-reconcilable Dynamics
Exploratory Data Analysis VIII - Daily Panel Data Frame with Marketing Campaigns and Time-varying Variables
Exploratory Data Analysis VII - Repeat Observations on Time-varying Variables for Individual Customers
Exploratory Data Analysis VI - Reproducing German Reunification with Bayesian Synthetic Control Method (BSCM)
Exploratory Data Analysis V - Reproducing German Reunification with Generalized Synthetic Control Method (GSCM)
Exploratory Data Analysis IV - Further Revision on Redemptions and Revenue
Exploratory Data Analysis III - Redemptions and Revenue
Exploratory Data Analysis II with focus on customers
Exploratory Data Analysis