ASTIN Bulletin-The Journal of the International Actuarial Association

Papers
(The TQCC of ASTIN Bulletin-The Journal of the International Actuarial Association is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)
ArticleCitations
DISCRIMINATION-FREE INSURANCE PRICING32
ADDRESSING IMBALANCED INSURANCE DATA THROUGH ZERO-INFLATED POISSON REGRESSION WITH BOOSTING20
LARGE-LOSS BEHAVIOR OF CONDITIONAL MEAN RISK SHARING18
NEIGHBOURING PREDICTION FOR MORTALITY17
PREDICTIVE CLAIM SCORES FOR DYNAMIC MULTI-PRODUCT RISK CLASSIFICATION IN INSURANCE17
POINT AND INTERVAL FORECASTS OF DEATH RATES USING NEURAL NETWORKS16
OPTIMAL INCENTIVE-COMPATIBLE INSURANCE WITH BACKGROUND RISK15
VALUATION OF HYBRID FINANCIAL AND ACTUARIAL PRODUCTS IN LIFE INSURANCE BY A NOVEL THREE-STEP METHOD14
CALIBRATING THE LEE-CARTER AND THE POISSON LEE-CARTER MODELS VIA NEURAL NETWORKS14
QUANTIFYING THE TRADE-OFF BETWEEN INCOME STABILITY AND THE NUMBER OF MEMBERS IN A POOLED ANNUITY FUND13
AN EFFECTIVE BIAS-CORRECTED BAGGING METHOD FOR THE VALUATION OF LARGE VARIABLE ANNUITY PORTFOLIOS13
JOINT OPTIMIZATION OF TRANSITION RULES AND THE PREMIUM SCALE IN A BONUS-MALUS SYSTEM12
COST-SENSITIVE MULTI-CLASS ADABOOST FOR UNDERSTANDING DRIVING BEHAVIOR BASED ON TELEMATICS12
TESTING FOR RANDOM EFFECTS IN COMPOUND RISK MODELS VIA BREGMAN DIVERGENCE11
GENERALIZING THE LOG-MOYAL DISTRIBUTION AND REGRESSION MODELS FOR HEAVY-TAILED LOSS DATA11
EFFICIENT DYNAMIC HEDGING FOR LARGE VARIABLE ANNUITY PORTFOLIOS WITH MULTIPLE UNDERLYING ASSETS10
MORTALITY FORECASTING WITH A SPATIALLY PENALIZED SMOOTHED VAR MODEL10
IMPROVING AUTOMOBILE INSURANCE CLAIMS FREQUENCY PREDICTION WITH TELEMATICS CAR DRIVING DATA10
MODERN LIFE-CARE TONTINES10
MEAN–VARIANCE INSURANCE DESIGN WITH COUNTERPARTY RISK AND INCENTIVE COMPATIBILITY9
OPTIMAL REINSURANCE FROM THE VIEWPOINTS OF BOTH AN INSURER AND A REINSURER UNDER THE CVAR RISK MEASURE AND VAJDA CONDITION8
The use of autoencoders for training neural networks with mixed categorical and numerical features8
JOINT MODEL PREDICTION AND APPLICATION TO INDIVIDUAL-LEVEL LOSS RESERVING7
TARGET VOLATILITY STRATEGIES FOR GROUP SELF-ANNUITY PORTFOLIOS7
JOINT MODELING OF CLAIM FREQUENCIES AND BEHAVIORAL SIGNALS IN MOTOR INSURANCE7
THE IMPACTS OF INDIVIDUAL INFORMATION ON LOSS RESERVING7
APPLYING ECONOMIC MEASURES TO LAPSE RISK MANAGEMENT WITH MACHINE LEARNING APPROACHES7
A NEW MULTIVARIATE ZERO-INFLATED HURDLE MODEL WITH APPLICATIONS IN AUTOMOBILE INSURANCE7
A MIXED BOND AND EQUITY FUND MODEL FOR THE VALUATION OF VARIABLE ANNUITIES6
PHASE-TYPE DISTRIBUTIONS FOR CLAIM SEVERITY REGRESSION MODELING6
TREE-BASED MACHINE LEARNING METHODS FOR MODELING AND FORECASTING MORTALITY6
A GROUP REGULARISATION APPROACH FOR CONSTRUCTING GENERALISED AGE-PERIOD-COHORT MORTALITY PROJECTION MODELS6
ROBUST ESTIMATION OF LOSS MODELS FOR LOGNORMAL INSURANCE PAYMENT SEVERITY DATA6
Modelling socio-economic mortality at neighbourhood level5
APPLYING STATE SPACE MODELS TO STOCHASTIC CLAIMS RESERVING5
EXTENDING THE LEE–CARTER MODEL WITH VARIATIONAL AUTOENCODER: A FUSION OF NEURAL NETWORK AND BAYESIAN APPROACH5
MORTALITY CREDITS WITHIN LARGE SURVIVOR FUNDS5
INSURANCE VALUATION: A TWO-STEP GENERALISED REGRESSION APPROACH5
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