Why Exponential & Weibull Distributions Matter: Key Concepts and Applications

This article introduces the exponential and Weibull distributions, explains their probability density and cumulative functions, highlights key properties such as the memoryless nature of the exponential and the flexibility of Weibull, and demonstrates practical calculations for reliability and survival analysis scenarios.

Reliabilityexponential distributionprobability

0 likes · 6 min read

Why Exponential & Weibull Distributions Matter: Key Concepts and Applications

网易UEDC

Aug 19, 2022 · Big Data

How Survival Analysis Reveals Player Churn in Naraka: Bladepoint

This article presents a data analyst’s walkthrough of player churn analysis for the battle‑royale game Naraka: Bladepoint, illustrating how survival analysis, epidemiological experiment designs, and econometric causal inference methods can uncover systemic and event‑driven attrition and guide more effective game‑operation strategies.

Game Analyticscausal inferencechurn analysis

0 likes · 8 min read

How Survival Analysis Reveals Player Churn in Naraka: Bladepoint

DataFunTalk

Jan 2, 2022 · Fundamentals

Survival Analysis for User Churn: Concepts, Data Preparation, and Quantitative Modeling

This article introduces survival analysis, explains how to model user churn by defining purchase and cancellation times as birth and death events, describes data formatting, presents descriptive Kaplan‑Meier results, and shows how Cox regression quantifies the impact of factors such as membership and activity on user survival.

Statistical Modelingcox regressiondata analysis

0 likes · 7 min read

Survival Analysis for User Churn: Concepts, Data Preparation, and Quantitative Modeling

DataFunTalk

Dec 22, 2021 · Artificial Intelligence

Applying Survival Analysis to User Activity Modeling: Concepts, Methods, and the KwaiSurvival Deep‑Learning Framework

This article explains why traditional DAU metrics are insufficient, introduces survival analysis fundamentals and key functions, demonstrates how Kaplan‑Meier curves can characterize user activity, and presents KwaiSurvival—a deep‑learning‑based survival modeling suite with DeepSurv, DeepHit and N‑MTLR models—for practical user‑engagement and churn‑prevention use cases.

Deep LearningKM curveKwaiSurvival

0 likes · 15 min read

Applying Survival Analysis to User Activity Modeling: Concepts, Methods, and the KwaiSurvival Deep‑Learning Framework

DataFunTalk

Oct 15, 2021 · Artificial Intelligence

Risk Control and Operations for Existing Credit Customers: Models, Strategies, and Practices

This article examines how financial institutions can manage risk and improve operations for existing loan customers by analyzing client flow, regulatory impacts, accelerated deterioration, and layered segmentation, and by applying advanced models such as rule‑based alerts, B‑card scoring, LSTM, and survival analysis to enable timely risk detection and targeted cross‑selling.

Customer SegmentationOperationsfinancial modeling

0 likes · 20 min read

Risk Control and Operations for Existing Credit Customers: Models, Strategies, and Practices

DataFunSummit

Oct 15, 2021 · Artificial Intelligence

Risk Control and Operations for Existing Loan Customers

This article examines how financial institutions can manage risk and improve operations for existing loan customers by analyzing customer flow during the pandemic, policy impacts, rapid deterioration patterns, and by applying advanced models such as LSTM, survival analysis, and B‑card strategies to enable timely risk detection and targeted cross‑selling.

LSTMbehavior modelingcustomer operations

0 likes · 19 min read

Risk Control and Operations for Existing Loan Customers

Alibaba Cloud Developer

Jul 9, 2018 · Artificial Intelligence

How JUMP Boosts Session Click‑Through and Dwell Time with a Triple‑Layer RNN

The paper introduces JUMP, a novel three‑layer RNN architecture that simultaneously predicts click‑through rates and user dwell time in session‑based recommendation scenarios, leveraging a fast‑slow layer to handle short sessions, an attention layer to filter noise, and survival‑analysis‑based modeling of stay duration, achieving superior performance across multiple benchmark datasets.

RNNclick-through ratedwell time

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How JUMP Boosts Session Click‑Through and Dwell Time with a Triple‑Layer RNN