Daniel Ambach

Electrical and Electronic Engineering · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 21 citations into it
• Environmental Engineering — 6 citations into it
• Global and Planetary Change — 5 citations into it

Whom Daniel Ambach trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert Tibshirani
2. Gong Li
3. A. Taşcıkaraoǧlu
4. Tao Hong
5. Tilmann Gneiting
6. Jerome H. Friedman
7. Trevor J. Hastie
8. Florian Ziel
9. Matthias Lange
10. Bradley Efron

Papers from Daniel Ambach's perspective

Ordered by how strongly the researchers Daniel Ambach trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. A review on the young history of the wind power short-term prediction
3. PATHWISE COORDINATE OPTIMIZATION
4. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
5. On comparing three artificial neural networks for wind speed forecasting
6. Probabilistic forecasts, calibration and sharpness
7. Estimating the Dimension of a Model
8. Strictly Proper Scoring Rules, Prediction, and Estimation
9. The Elements of Statistical Learning
10. A review on the forecasting of wind speed and generated power

Their papers

• A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting (2017) — 52 citations
• Forecasting wind power – Modeling periodic and non-linear effects under conditional heteroscedasticity (2016) — 83 citations