• No results found

linear models

Generalized Linear Models in Vehicle Insurance

Generalized Linear Models in Vehicle Insurance

... generalized linear models (GLMs) are used for the estimation of AFC in this ...used linear regression and the advantages of GLMs are ...erent models containing various risk factors are ...

6

Non Linear Models for Confidence Estimation

Non Linear Models for Confidence Estimation

... non-linear models, namely ran- dom forests, with a simple and limited feature set, succeeds in modeling the complex deci- sions required to assess translation quality and achieves results that are on a par ...

6

Log Linear Models for Word Alignment

Log Linear Models for Word Alignment

... In the following, we present the results of log- linear models for word alignment. We used GIZA++ package (Och and Ney, 2003) to train IBM transla- tion models. The training scheme is 1 5 H 5 3 5 , ...

8

Assessment of dynamic linear and non-linear models on rainfall variations predicting of Iran

Assessment of dynamic linear and non-linear models on rainfall variations predicting of Iran

... ARCH models and generalized as GARCH (Bollerslev, 1986; Taylor, ...These models are usually used in various climatic researches, especially in climatic time series ...ARCH models for the 40 years of ...

17

Fitting Models of Vulnerability to Toxicity with Generalized Linear Models

Fitting Models of Vulnerability to Toxicity with Generalized Linear Models

... Generalized Linear Models (GLM) of it can be fitted using our proposed ...identify models in GLM that can be used to study toxicity when it is ‘captured’ as count data or Binary Response Variables ...

12

Dirichlet Process Mixtures of Generalized Linear Models

Dirichlet Process Mixtures of Generalized Linear Models

... Regression tree models, such as classification and regression trees (CART) (Brieman et al., 1984), are a natural way to handle regression with continuous, categorical or mixed data. They split the data into a ...

31

Interpreting interaction terms in linear and non linear models: A cautionary tale

Interpreting interaction terms in linear and non linear models: A cautionary tale

... non-linear models including (ordered) logit/probit regressions, censored and truncated ...The linear regression model is used as the benchmark ...

16

Partial Functional Linear Models with ARCH Errors

Partial Functional Linear Models with ARCH Errors

... functional linear models with ARCH errors into the corresponding linear regression models by the K-L expansion and the idea of ...The linear relationship between z and X is essentially ...

17

Some problems in estimation in mixed linear models

Some problems in estimation in mixed linear models

... Linear models with multiple sources of error, known as mixed linear models, are used for modelling data from many scientific ...mixed linear models, the modification of these ...

163

Unsupervised Morphological Segmentation with Log Linear Models

Unsupervised Morphological Segmentation with Log Linear Models

... Unsupervised learning with log-linear models has received little attention in the past. Two notable ex- ceptions are Smith & Eisner (2005) for POS tagging, and Poon & Domingos (2008) for coreference ...

9

Ridge regression and diagnostics in generalized linear models

Ridge regression and diagnostics in generalized linear models

... generalized linear models (GLMs) introduced by Neider & Wedderburn (1972), the explanatory variables are highly correlated and so are termed collinear or ...the linear regression case is well ...

133

Partially linear models

Partially linear models

... partially linear models in the framework of in- dependent ...partially linear time series models and establish asymptotic results as well as small sample ...

216

Forecasting telecommunications data with linear models

Forecasting telecommunications data with linear models

... the linear extrapolation models perform well when employed to forecast monthly and ‘other’ M3 telecommunications series of unknown ...Holt-D models provides the most reliable forecasts without any ...

28

Application of Hierarchical Linear Models/Linear Mixed effects Models in School Effectiveness Research

Application of Hierarchical Linear Models/Linear Mixed effects Models in School Effectiveness Research

... data. They are the extension of linear models. The application of multilevel analysis for educational hierarchical data has several advantages. First, it enables the researchers to obtain statistically ...

8

A Practitioner's Guide to Generalized Linear Models

A Practitioner's Guide to Generalized Linear Models

... As 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 ...

116

Generalised linear models

Generalised linear models

... There are some quick and dirty fixes for mild overdispersion including switching from using Chi-­‐squared to more conservative F-­‐tests to assess significance and the use of quasi distributions. Which methods you should ...

19

Absolute Penalty and Shrinkage Estimation Strategies in Linear and Partially Linear Models

Absolute Penalty and Shrinkage Estimation Strategies in Linear and Partially Linear Models

... the linear part is asymptotically ...semiparametric models, Liang (2006) numerically com- pared the performance of profile-kernel, penalized spline method, and back-fitting methods for a partially ...

186

Asymptotic theory for partly linear models

Asymptotic theory for partly linear models

... proof of Theorem 4 follows by the similar reason as... Theury of Large sample Pn Semiparametric .D.[r] ...

26

Generalized linear models

Generalized linear models

... As Birch (1963) has shown, the estimation of a set of independent multinomial distributions is equivalent to the estimation of a set of independent Poisson distributions, and in[r] ...

16

Log-Linear Models a.k.a. Logistic Regression, Maximum Entropy Models

Log-Linear Models a.k.a. Logistic Regression, Maximum Entropy Models

... § Sequences of words, tags, morphemes, phonemes ( n-grams, FSAs, FSTs ; regex compilation, best-paths , forward-backward , collocations ).. § Vectors ( clusters ).[r] ...

160

Show all 10000 documents...

Related subjects