Daniel (danielw2904)

danielw2904

Geek Repo

Company:@WU-RDS

Location:Vienna

Home Page:https://www.researchgate.net/profile/Daniel_Winkler14

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Organizations
IMSMWU

Daniel's repositories

Math-Plots

Plots of a few functions

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adv_micro_summary

Summary of the handouts in advanced microeconomics aka game theory

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atap

Code for Applied Text Analysis with Python

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bayeshw

2. + 3. HW

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Cinnamon

A Linux desktop featuring a traditional layout, built from modern technology and introducing brand new innovative features.

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CNN_sentence

CNNs for sentence classification

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deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

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Financial-Statements-Text-Analysis

Documentation and code for downloading, cleaning, munging, and analyzing financial statements filed by publicly traded companies with the SEC

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GAS

GAS models

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generating-reviews-discovering-sentiment

Code for "Learning to Generate Reviews and Discovering Sentiment"

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helperFunctions

Files with helper functions for some analyses

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minimal

Minimal is a Jekyll theme for GitHub Pages

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mostly-harmless-replication

Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.

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paramaetricsurvivalmodelsinstan

Parametric survival models in Stan (the Bayesian way).

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samples-uzuerich-2017-06

Some Examples for Rcpp Workshop

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sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

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SentimentAnalysis

Dictionary-based sentiment analysis

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stanometrics

An R interface to workhorse econometric models

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stansurv

Bayesian Survival Analysis using Stan

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Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse

Reexpress McElreath’s "Statistical Rethinking" (2015) by fitting the models in brms, plotting with ggplot2, and data wrangling with tidyverse-style syntax.

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survivalstan

Library of Stan Models for Survival Analysis

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TS_econometrics

Time Series Econometrics WS 2017/18

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