# Generalized linear models

### Generalized Linear Models

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### Generalized Linear Models

**Generalized**

**Linear**

**Models**We have previously worked with regression

**models**where the response variable is quantitative and normally ...of

**models**where the response variable is discrete ...

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### The OSCAR for Generalized Linear Models

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### Generalized Linear Models in Vehicle Insurance

**Generalized**

**Linear**

**Models**in Vehicle Insurance. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 62(2): 383–388. Actuaries in insurance ...

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### 15.1 The Structure of Generalized Linear Models

**Generalized**

**Linear**

**Models**Most of the diagnostics for

**linear**

**models**presented in Chapters 11 and 12 extend relatively straightforwardly to ...of

**linear**least-squares ...

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### Fitting Models of Vulnerability to Toxicity with Generalized Linear Models

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### Linear hypothesis testing for high dimensional generalized linear models

**linear**hypotheses in high- dimensional

**generalized**

**linear**...with

**linear**hypothe- ses, we first propose constrained partial regularization method and study its statistical ...and ...

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### Ridge regression and diagnostics in generalized linear models

**generalized**

**linear**

**models**(GLMs). It is shown that collinearity among the ...

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### Semiparametric Generalized Linear Models with the gldrm Package

**Generalized**

**Linear**

**Models**with the gldrm Package by Michael J. Wurm and Paul J. Rathouz Abstract This paper introduces a new algorithm to estimate and perform inferences on a recently ...

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### Tests for High Dimensional Generalized Linear Models

**linear**

**models**as in Berk et al. (2013) , Lee et al. (2014), Taylor et al. (2014), ...

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### Tests for High Dimensional Generalized Linear Models

**linear**

**models**as in Berk et al. (2013) , Lee et al. (2014), Taylor et al. (2014), ...

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### Bayesian Inference for Sparse Generalized Linear Models

**generalized**

**linear**

**models**(GLMs), based on the ex- pectation propagation (EP) technique. The parameters can ...

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### Exploiting regularity in sparse Generalized Linear Models

**Generalized**

**Linear**

**Models**(GLM) are a wide class of regression and classification

**models**, where the predicted variable is obtained from a

**linear**combination of the in- put ...

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### Pricing of Car Insurance with Generalized Linear Models

**Generalized**

**linear**

**models**can be a great way to efficiently predict important ratios, like the claim frequency, claim severity and pure ...

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### Generalized Linear Models

**Linear**Regression. These ’Pseudo’-R 2 measures can be useful for model comparison, ...

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### Generalized linear models

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### Semiparametric generalized linear models

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### A Practitioner's Guide to Generalized Linear Models

**models**fitted to only a single year of data could be distorted by events that occurred during that year, the data should ideally be based on two or three years of ...

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### Generalized Linear Models for Insurance Data

**generalized**inverse Gaussian and inverse Gaussian ...The

**generalized**inverse Gaussian is a three-parameter distribution which is highly flexible, but has the drawback that its computation is ...

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### L2 differentiability of generalized linear models

**linear**regression, ...

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