GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China by Pan, Yuanjin, Hammond, William C., Ding, Hao, Mallick, Rishav, Jiang, Weiping, Xu, Xinyu, Shum, C. K., Shen, Wenbin

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Uncertainty Quantification in Deep Learning Models of G-Computation for Outcome Prediction under Dynamic Treatment Regimes by Deng, Leon

“…This thesis aims to add uncertainty quantification to both the RNN-based G-Net and the G-Transformer. …”
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“UPDATE: I’m pregnant!”: inferring global downloads and reasons for using menstrual tracking apps by Rampazzo, F, Raybould, A, Rampazzo, P, Barker, R, Leasure, D

Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits by Hu, S, Ferreira, LAF, Shi, S, Hellenthal, G, Marchini, J, Lawson, DJ, Myers, SR

“…We developed a statistical pipeline to infer fine-scale Ancestry Components and applied it to UK Biobank data. …”

Ritual speech, performativity, and modality by Frangulov, AM

“…Specifically, the default speech event, which Hacquard (2010) posits, can be the target of Eckardt's (2012) self-referential inference that the described event is identical with the ongoing transfer of information, which allows the assertion to be self-referential and therefore performative, without encountering the problem of the quantification on the agent of the matrix verb. …”

Probabilistic photonic computing with chaotic light by Brückerhoff-Plückelmann, F, Borras, H, Klein, B, Varri, A, Becker, M, Dijkstra, J, Brückerhoff, M, Wright, CD, Salinga, M, Bhaskaran, H, Risse, B, Fröning, H, Pernice, W

“…In contrast, treating an ANN as a probabilistic model derived via Bayesian inference poses significant challenges for conventional deterministic computing architectures. …”

Bayesian lesion estimation with a structured spike-and-slab prior by Menacher, A, Nichols, T, Holmes, C, Ganjgahi, H

“…The use of mean-field variational inference with dynamic posterior exploration, which is an annealing-like strategy that improves optimization, allows our method to scale to large sample sizes. …”

Using cluster analysis to reconstruct dengue exposure patterns from cross-sectional serological studies in Singapore by Sangkaew, Sorawat, Tan, Li Kiang, Ng, Lee Ching, Ferguson, Neil M., Dorigatti, Ilaria

“…Analyses of the relative size and age-stratification of the clusters by year of sample collection and the application of cluster analysis to the 2009 and 2013 datasets considered separately revealed the epidemic circulation of DENV2 and DENV3 between 2009 and 2013. …”
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The association between the housing structure and continued breastfeeding in two Southern African countries by Khanyile, Ntuthuko, McLaren, Shawn, Fairbrother, Una

“…The context in which the size of the dwelling place sits is crucial to correctly infer the drivers for change in breastfeeding duration.…”
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Uncertainty & robustness for single-cell studies by Shiffman, Miriam

“…This thesis makes two main advances in facilitating coherent, actionable quantification of uncertainty and robustness for single-cell studies. …”
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