Essays about: "binary choice models"

Showing result 6 - 10 of 14 essays containing the words binary choice models.

1. 6. Preprocessing method comparison and model tuning for natural language data

   University essay from Högskolan Dalarna/Mikrodataanalys

   Author : Peter Tempfli; [2020]
   Keywords : Natural language processing; sentiment analysis; machine learning;

   Abstract : Twitter and other microblogging services are a valuable source for almost real-time marketing, public opinion and brand-related consumer information mining. As such, collection and analysis of user-generated natural language content is in the focus of research regarding automated sentiment analysis. READ MORE

3. 7. Variable Selection for Estimating Optimal Sequential Treatment Decisions Using Bayesian Networks

   University essay from Lunds universitet/Statistiska institutionen

   Author : Joel Persson; [2020]
   Keywords : decision theory; causal inference; variable selection; graphical models; causal discovery; dynamic treatment regimes; dynamic programming; reinforcement learning; observational study; Mathematics and Statistics;

   Abstract : We propose a variable selection method for estimating decision rules of optimal sequential treatment assignments when the decision-relevant variables are unknown. Standard variable selection methods are insufficient in this setting since they choose covariates that are predictive of the outcome, not those that interact with the treatment on the outcome and are therefore relevant for decision-making. READ MORE

4. 8. How do firms choose payment method in M&As?

   University essay from Lunds universitet/Företagsekonomiska institutionen

   Author : Vilhelm Borelius; Madeleine Dahlgren; [2019]
   Keywords : M A; Cross-border; credit rating; payment method; Business and Economics;

   Abstract : The purpose of this project is to examine if the existence of a credit rating and if the level of credit rating for the acquirer and target influences which financing source is used in cross-border and domestic M&As. The empirical methods used are the probit and GLM logit models. READ MORE

5. 9. ANALYSIS OF BINARY DEPENDENT VARIABLES USING LINEAR PROBABILITY MODEL AND LOGISTIC REGRESSION: A REPLICATION STUDY

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Lutendo Vele; [2019]
   Keywords : binary choice models; logistic regression; linear probability model; forbidden regression; binary dependent variables; dichotomous variables; residuals as dependent variables;

   Abstract : Linear Probability Model (LPM) is commonly used because it is easy to compute and interpret than with logits and probits even though the estimated probabilities may fall outside the $\big[$0,1$\big]$ interval and the linearity concept does not make much sense when dealing with probabilities. This paper extends upon the results of \citeA{Dara} reviewing the use of LPM to examine if alcohol prohibition reduces domestic violence. READ MORE

6. 10. Cloud Overlap Assumption and Cloud Cover Validation for HARMONIE-AROME

   University essay from Uppsala universitet/Luft-, vatten- och landskapslära

   Author : Freja Söderberg; [2016]
   Keywords : Cloud overlap assumption; HARMONIE-AROME; total cloud cover; SYNOP observations; MSG-data; Molnöverlappsantagande; HARMONIE-AROME; total molnmängd; SYNOP-observationer; MSG-data;

   Abstract : One major challenge in representing the state of the atmosphere through weather forecast models, is the parametrization of sub-grid clouds. At every vertical column of grid cells within a weather forecast model, the fractional cloud cover is assumed to overlap according to a prescribed Cloud Overlap Assumption (COA). READ MORE