Concepedia

Benjamin Säfken

BS

10

Publications

780

Citations

10

H-Index

2017

Active since

Affiliations

University of Göttingen(Current)

Clausthal University of Technology

Benjamin Säfken is an author at University of Göttingen specializing in data science, engineering, and text mining.

Top concepts

EngineeringData ScienceStatisticsText MiningManagementComputer ScienceContent AnalysisMachine LearningStatistical InferenceFunctional Data Analysis

Publications per year

2017–2023

10

Publications

10

Smoothing Parameter and Model Selection for General Smooth Models

Simon N. Wood, Natalya Pya, Benjamin Säfken · Bristol Research (University of Bristol) · 2017 · 534 citations · Full text

Conditional Model Selection in Mixed-Effects Models with <b>cAIC4</b>

Benjamin Säfken, David Rügamer, Thomas Kneib et al. · Journal of Statistical Software · 2021 · 51 citations · Full text

Latent Modeling, Engineering, Data Science +9

Conditional Model Selection in Mixed-Effects Models with cAIC4

Benjamin Säfken, David Rügamer, Thomas Kneib et al. · arXiv (Cornell University) · 2018 · 48 citations · Full text

Latent Modeling, Engineering, Data Science +11

Stock Price Predictions with LSTM Neural Networks and Twitter Sentiment

Marah-Lisanne Thormann, Jan Farchmin, Christoph Weisser et al. · Statistics Optimization & Information Computing · 2021 · 33 citations · Full text

Engineering, Machine Learning, Trend Prediction +18

Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data

Christoph Weisser, Christoph Gerloff, Anton Thielmann et al. · Computational Statistics · 2022 · 32 citations · Full text

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