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Research Highlight
Statistical procedures are called robust if they remain informative and efficient in the presence of outliers and other departures from typical model assumptions on the data. Ignoring unusual observations can play havoc with standard statistical methods and can also result in losing the valuable information gotten from unusual data points. Robust procedures prevent this. And these procedures are more important than ever since currently, data are often collected without following established experimental protocols. As a result, data may not represent a single well-defined population. Analyzing these data by non-robust methods may result in biased conclusions. To perform reliable and informative inference based on such a heterogeneous data set, we need statistical methods that can fit models and identify patterns, focusing on the dominant homogeneous subset of the data without being affected by structurally different small subgroups. Robust Statistics does exactly this. Some examples of applications are finding exceptional athletes (e.g. hockey players), detecting intrusion in computer networks and constructing reliable single nucleotide polymorphism (SNP) genotyping.
Events
News
UBC Statistics Associate Professor Daniel McDonald is taking the lead on multiple projects within Carnegie Mellon University's Innovators group. These...
The Statistics Department offers several types of free statistical consultation, via STAT 551, SOS and STAT 450/550, as follows:
- STAT 450/550/540: Term 2 only, open to anyone, via students mentored by faculty; accepting...
This year’s recipients of the Dr. John and Barbara Petkau Scholarships are Wanqing Hu and Chenyue Qian.
Congratulations to Nirupama Tamvada, the recipient of the Rick White Award for the UBC academic year 2022.
Nirupama has had the opportunity to work on fruitful collaborations related to biomedical data. She worked in collaboration with...
The Statistics Department offers several types of free statistical consultation, via STAT 551, SOS and STAT 450/550, as follows:
- STAT 551: Term 1 only, open to anyone, via students in STAT 551 mentored by faculty; accepting...
Congratulations to UBC Statistics M.Sc. student Xinyuan (Chloe) You for winning the CSSC Oral Presentation Competition. Chloe’s talk on "Regularized Relative Risk Regression for High-...
Congratulations to our Associate Professor Daniel McDonald on his role as the Regional Representative on the board of directors representing Alberta, British Columbia, and Yukon of the Statistical Society of Canada (SSC). His new role began...
2023 SSC Case Studies in Data Analysis Poster Competition was held on Monday, May 29, 2023 at Carleton...