Monografie
Searching for a Unicorn: A Machine Learning Approach Towards Startup Success Prediction
- Sprache
-
Englisch
- Identifier
-
1193086191
Beteiligte Personen und Organisationen
- DOI
-
10.18452/20347
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
26.01.2023, 13:56 MEZ
Objekttyp
- Monografie
Ähnliche Objekte (12)
A comparison of supervised learning algorithms
Evaluation of Multi-Asset Investment Strategies with Digital Assets
Cryptocurrency returns: short-term forecast using Google Trends
An Empirical Application of Interactive Fixed Effect Model on Asset Pricing
Uniform confidence bands for pricing kernels
HMM in dynamic HAC models
Applied quantitative finance
Quantile Regression in Risk Calibration
Dynamic semi-parametric factor model for functional expectiles
Nonparametric and semiparametric models
Wavelets, approximation, and statistical applications : [seminaire Paris-Berlin]
Data science & digital society
A comparison of supervised learning algorithms
Evaluation of Multi-Asset Investment Strategies with Digital Assets
Cryptocurrency returns: short-term forecast using Google Trends
An Empirical Application of Interactive Fixed Effect Model on Asset Pricing
Uniform confidence bands for pricing kernels
HMM in dynamic HAC models
Applied quantitative finance
Quantile Regression in Risk Calibration
Dynamic semi-parametric factor model for functional expectiles
Nonparametric and semiparametric models
Wavelets, approximation, and statistical applications : [seminaire Paris-Berlin]
Data science & digital society
A comparison of supervised learning algorithms
Evaluation of Multi-Asset Investment Strategies with Digital Assets
Cryptocurrency returns: short-term forecast using Google Trends
An Empirical Application of Interactive Fixed Effect Model on Asset Pricing
Uniform confidence bands for pricing kernels
HMM in dynamic HAC models
Applied quantitative finance
Quantile Regression in Risk Calibration
Dynamic semi-parametric factor model for functional expectiles
Nonparametric and semiparametric models
Wavelets, approximation, and statistical applications : [seminaire Paris-Berlin]