To my family Acknowledgements The meaning of life for me is experiencing new things and learning from them. Enrolling in the Ph.D. program has enabled me to gain invaluable experiences along the way. Though only my name appears on the cover of this dissertation, many people have helped me to produce it. I am indebted to all of them: it would not have been possible to reach this point in my life...

The benefits of endowment destruction documented by Ljungqvist and Uhlig (2014), and the related possibility that consumption can lower habits, are fragile. Both issues result from a particular way of discretely approximating the underlying continuous-time model, or of adapting it to jumps. Other ways of calculating the discrete-time approximation or extending the model to jumps easily overturn...

Anmeldelse af Lars Albinus, Livsvæsen. Om forholdet mellem dyret, mennesket og det guddommelige

– The LARS-MLE algorithm, an efficient algorithm that returns the unpenalized Maximum Likelihood Estimates (MLEs) for all non-zero subsets of variables encountered along the LARS regularization path. – The Two-Metric Projection algorithm used for L1-regularized Logistic Regression. – The L1PC algorithm, a relaxed form of the L1MB algorithm that allows scaling to much larger graphs. – Extensions...

The Ligament Augmentation and Reconstruction System® (LARS®) represents a popular synthetic anatomical reduction method for acromioclavicular joint dislocation by means of coracoclavicular ligament reconstruction. To our knowledge, no early failure has been documented in the literature. We present two unusual cases of LARS failure, one at four months after implant and the other at three weeks, ...

In order to correct the error that Efron et al pointed out modified Lars is a fast algorithm for lasso problem, computer simulation carried with data. The results show when variable removed first and then entered in variables selected by cannot be same. At this time, no matter how modify size of Lars, problem solved. method used errors paper, contribute development world data computing.

Introduction Laparoscopic antireflux surgery (LARS) has shown excellent results for treatment of gastroesophageal reflux disease (GERD). With success rates between 93% and 97% and a low incidence of complications. Life expectancy in our country is increasing and more patients over 65 years of age are admitted for surgical intervention. The aim of this retrospective study was to compare reflux a...

Introduction To immediately monitor disease outbreaks, the application of laboratory-based surveillance is more popular in recent years. Taiwan Centers for Disease Control (TCDC) has developed LARS to collect the laboratory-confirmed cases caused by any of 20 pathogens daily via automated submitting of reports from hospital laboratory information system (LIS) to LARS since 2014 [1]. LOINC is us...

Many regression problems exhibit a natural grouping among predictor variables. Examples are groups of dummy variables representing categorical variables, or present and lagged values of time series data. Since model selection in such cases typically aims for selecting groups of variables rather than individual covariates, an extension of the popular least angle regression (LARS) procedure to gr...

Recent work in reinforcement learning has emphasized the power of L1 regularization to perform feature selection and prevent overfitting. We propose formulating theL1 regularized linear fixed point problem as a linear complementarity problem (LCP). This formulation offers several advantages over the LARS-inspired formulation, LARS-TD. The LCP formulation allows the use of efficient off-theshelf...