SIMLAB: UBC's Okanagan Laboratory for Data Visualization
Research Output
Submitted and Published Journal Articles
2020-21
MacQueen, S., Braun, W. and Tyson, R. Wild flower enhancement location and shape matter for crop pollination.
Submitted to Ecological Modelling, May 2020.
Thompson, R.J.R. and Braun, W.J. Anisotropic local constant smoothing for
change-point regression function estimation. Submitted to Journal of Nonparametric
Statistics, April 2020.
2019-20
A. Deng, R. Ali-Adeeb, J. Andrews, P Shreeves, J. Lum, A. Brolo, and A. Jirasek. 2020. Monitoring ionizing radiation-induced cellular responses with Raman spectroscopy, non-negative matrix factorization, and non-negative least squares. Applied Spectrosc. In Press
Optimization of solid tank design for fan-beam optical CT based 3D radiation dosimetry. A, Ogilvy, S. Collins, T. Tuokko, M. Hilts, R. Deardon, W. Hare, A. Jirasek. Submitted to Phys. Med. Biol. 2020.
Linac-integrated kV-Cone Beam CT polymer gel dosimetry. A. Jirasek, J. Marshall, N. Mantella, N. Diaco, E.Maynard, T. Teke, and M. Hilts. Submitted to Phys. Med. Biol. 2020.
Chen, H. and Braun, W.J. Iterated data sharpening. Submitted to Computational
Statistics and Data Analysis,
October 2019 and currently under revision.
W.J. Braun. CC: Control Charts. R package version 1.0. https://CRAN.R-project.org/package=CC 2019. This package was
implemented by Marie O'Brien as part of UBC's Pilot Fatigue project.
Braun, W.J., Brown, P. and Stafford, J. Data sharpening via Firth's adjusted score function, Accepted by
Statistics and Probability Letters , May 2020.
Thompson, J.R.J., Wang, X.J., Braun, W.J., Dean, C.B. and Woolford, D.G.
A mouse-model for studying fire spread rates
using experimental micro-fires. Accepted by Journal of Environmental Statistics, May 2020.
Thomson, T.J., Braun, W.J. and Hu, X.J. On the time to first spotting in wildland fires.
Accepted by
Communications in Statistics - Simulation and Computation , November 2019.
Becker, D., Braun, W.J., Dean, C.B., and Woolford, D.G. Visualizing multivariate time series
of aerial fire fighting data. Accepted by Journal of Environmental Statistics , September 2019.
Wang, X.J., Thompson, R.J.R., Braun, W.J. and Woolford, D.G. Fitting a stochastic fire spread model to data.
ASCMO , 5 57-66, 2019.
2018-19
Xiong, Y., Bingham, D., Braun, W.J., Hu, X.J. On the use of Moran's I statistic with spatio-temporal observations.
Journal of Nonparametric Statistics , 31 244-267, 2019.
Albert-Green, A., Braun, W.J., Dean, C.B. and Miller, C.
A hierarchical point process with
application to storm cell modelling. Canadian Journal of Statistics , 47 46-64, 2019.
Wolters, M. and Braun, W.J. A practical implementation of weighted kernel density estimation for handling shape constraints.
STAT, 7(1) e202, 2018.
2017-18
Hall, P.G., Braun, W.J. and Duchesne, T. Empirical Fourier methods for interval censored data.
Statistica Sinica , 28 2811-2822, 2018.
Braun, W.J., Hu, X.J. and Kang, X.
Data sharpening guided by global constraint in local regression.
Statistica Sinica,
28 2733-2748, 2018.
Becker, D.}, Braun, W.J. and White, B.J.G.
Interval-censored unimodal kernel density estimation via data sharpening.
Journal of Statistical Computation and Simulation, 87 2023-2037,
2017.
Wolters, M.A. and Braun, W.J., Enforcing shape constraints on a
probability density estimate using an additive adjustment curve.
Communications in Statistics -- Simulation and Computation, 47 672-691, 2017.
Conference Presentations
2019-20
K. Milligan, A. Deng, P. Shreeves, J. Andrews, A. Brolo, J. Lum, and A. Jirasek. 2020. Raman spectroscopy and supervised learning as a method towards enhanced radiation treatment. Spec Clinical spectroscopy conference. May 17-20, Monterey, CA, USA. (postponed due to Covid-19) (talk).
A. Ogilvy, S. Collins, W. Hare, M. Hilts, T. Tuokko, R. Deardon, and A Jirasek. 2020. Optimization of solid tank design for fan-beam optical CT based 3D radiation dosimetry. IC3Ddose, June 15-21, Quebec City, Canada. (postponed due to Covid-19) (talk).
X. Deng, R. Ali-Adeeb, P. Shrives, A. Brolo, J. Andrews, J. Lum, and A. Jirasek. 2020. Using machine learning for Raman spectral analysis of tumour radiosensitivity. COMP. July 12-16, Vancouver, Canada. (talk).
Braun, W.J. "Small Data in a Big Data World", CANSSI-Quebec Inauguration, Montreal, November, 2019.
Braun, W.J. "Feature Selection with Confidence Intervals",
Symposium, Central South University, Changsha, Oct. 2019.
Braun, W.J. "Feature Selection with Confidence Intervals",
Canadian Organization of Physicists, Annual Meeting, Kelowna, September, 2019.
Wang X., Lee M., Pinchbeck A., Fard F. H., “Where Does LDA Sit for GitHub?,” In 2019 34th IEEE/ACM Int. Conf. on Automated Software Engineering Workshop (ASEW), IEEE, pp. 94-97, 2019.
Workshops
2019-20
First Steps to R, UCBC Workshop, University of Calgary, Dec. 4, 2019
