Pages that link to "Item:Q1381140"

The following pages link to Claims reserving and generalised additive models (Q1381140):

Displaying 21 items.

• Semiparametric model for prediction of individual claim loss reserving (Q659084) (← links)
• Kernel Poisson regression machine for stochastic claims reserving (Q744581) (← links)
• A multivariate evolutionary generalised linear model framework with adaptive estimation for claims reserving (Q784416) (← links)
• Parameter reduction in log-normal chain-ladder models (Q903678) (← links)
• A generalized linear model with smoothing effects for claims reserving (Q2276256) (← links)
• The multi-year non-life insurance risk in the additive loss reserving model (Q2443238) (← links)
• Modelling negatives in stochastic reserving models (Q2499832) (← links)
• Risk aggregation and stochastic claims reserving in disability insurance (Q2514610) (← links)
• Joint modelling of the total amount and the number of claims by conditionals (Q2518553) (← links)
• More on Robust Lagfactors (Q4219950) (← links)
• Robust lagfactors (Q4367906) (← links)
• Claims Reserving with a Stochastic Vector Projection (Q4567958) (← links)
• Claims Reserving Using Tweedie's Compound Poisson Model (Q4661687) (← links)
• COMPOUND POISSON CLAIMS RESERVING MODELS: EXTENSIONS AND INFERENCE (Q4691250) (← links)
• NEW LOSS RESERVE MODELS WITH PERSISTENCE EFFECTS TO FORECAST TRAPEZOIDAL LOSSES IN RUN-OFF TRIANGLES (Q5045342) (← links)
• Robust Bayesian analysis of loss reserving data using scale mixtures distributions (Q5138002) (← links)
• On the distribution of discounted loss reserves using generalized linear models (Q5430550) (← links)
• Bayesian Modelling of Outstanding Liabilities Incorporating Claim Count Uncertainty (Q5715848) (← links)
• A MIXTURE MODEL FOR PAYMENTS AND PAYMENT NUMBERS IN CLAIMS RESERVING (Q5745187) (← links)
• STOCHASTIC CLAIMS RESERVING VIA A BAYESIAN SPLINE MODEL WITH RANDOM LOSS RATIO EFFECTS (Q5745188) (← links)
• FUNCTIONAL PROFILE TECHNIQUES FOR CLAIMS RESERVING (Q5866175) (← links)