Daniel F. Schmidt

1. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores
   2015/10/01 by Bjarni J. Vilhjálmsson, Bjarni J. Vilhjálmsson, Jian Yang +438 · 53 citations
   Biochemistry, Genetics and Molecular Biology · Mathematics · #Genetic Associations and Epidemiology #Bioinformatics and Genomic Networks #Advanced Causal Inference Techniques
2. HYDRA: Competing convolutional kernels for fast and accurate time series classification
   2022/03/25 by Angus Dempster, Dempster, Angus, Daniel F. Schmidt +3 · 7 citations
   Computer Science · #Time Series Analysis and Forecasting #Anomaly Detection Techniques and Applications #Neural Networks and Applications
3. Melanoma risk for CDKN2A mutation carriers who are relatives of population-based case carriers in Australia and the UK
   2011/02/15 by Anne E Cust, Anne Ε. Cust, Mark Harland +38 · 17 citations
   Medicine · Biochemistry, Genetics and Molecular Biology · #Cutaneous Melanoma Detection and Management #Melanoma and MAPK Pathways #melanin and skin pigmentation
4. High-Dimensional Bayesian Regularised Regression with the BayesReg Package
   2016/11/21 by Enes Makalic, Makalic, Enes, Daniel F. Schmidt +1 · 2 citations
   Computer Science · Decision Sciences · Engineering · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design #Statistical Methods and Inference
5. An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
   2023/05/19 by Ali Ismail-Fawaz, Ismail-Fawaz, Ali, Angus Dempster +19 · 3 citations
   Computer Science · Decision Sciences · #Machine Learning and Data Classification #Multi-Criteria Decision Making
6. Bayesian Sparse Global-Local Shrinkage Regression for Selection of Grouped Variables
   2017/09/13 by Zemei Xu, Daniel F. Schmidt, Xu, Zemei +7 · 3 citations
   Computer Science · Decision Sciences · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Grey System Theory Applications #Methodology (stat.ME) #Statistical Methods and Inference
7. Log-Scale Shrinkage Priors and Adaptive Bayesian Global-Local Shrinkage\n Estimation
   2018/01/08 by Daniel F. Schmidt, Enes Makalic, Schmidt, Daniel F. +2 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
8. Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization
   2023/10/29 by Shu Yu Tew, Mario Boley, Tew, Shu Yu +3 · 2 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
9. Introduction to minimum message length inference
   2022/09/29 by Enes Makalic, Daniel F. Schmidt, Makalic, Enes +1 · 1 citation
   Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #Forecasting Techniques and Applications #Methodology (stat.ME)
10. MONSTER: Monash Scalable Time Series Evaluation Repository
    2025/02/21 by Angus Dempster, Navid Mohammadi Foumani, Dempster, Angus +14 · 2 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
11. Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach
    2023/11/02 by Xueying Long, Quang‐Thanh Bui, Long, Xueying +15 · 1 citation
    Business, Management and Accounting · Decision Sciences · #Big Data and Business Intelligence #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG)