Recently Published
Beyond Self-Discovery: Ginhawa and the Relational Constitution of Filipino Tourist Experience
Tourism theory frequently represents travel as an individualized project of escape, self-discovery, authenticity, and personal transformation. Although these accounts have generated durable insights, their underlying image of the tourist as an autonomous subject may obscure forms of well-being constituted through shared presence, obligation, care, and return. This conceptual article develops *ginhawa*, a Filipino idea encompassing embodied ease, relational continuity, and relief from constriction, as an alternative framework for interpreting tourist experience. It argues that tourism may facilitate movement from *sikip*, or embodied, temporal, material, and relational constriction, toward *luwag*, an opening of capacity, through the interdependent processes of *pahinga*, or embodied-temporal restoration, and *pakikipagkapwa*, or relational recognition and shared personhood. The article contributes to critical tourism studies by showing how concepts developed outside Euro-American theoretical traditions can revise, rather than merely diversify, accounts of tourist well-being.
SSP Bootstrapping for non estimable confint
SSP2 course UNIL
Support Vector Machines & Nonlinear Classification in R
This assignment explores Questions 5, 7, and 8 from Chapter 9 of An Introduction to Statistical Learning with Applications in R. The analysis focuses on support vector machines (SVMs) and their application to classification problems in R. Topics include fitting support vector classifiers, evaluating model performance, examining the effects of tuning parameters and kernels, and interpreting classification results.
DREAM-High: Exploring TCGA Breast Cancer Clinical Data
Explore clinical data from breast cancer patients in The Cancer Genome Atlas (TCGA).
Collatz Conjecture Visualizations
The core insight was that all four images are the same mathematical object seen four ways: three are renderings of the reverse (predecessor) tree of the 3n+1 map, and one is a single long orbit. From shared building blocks — a forward orbit function, the predecessor-tree builder, and the "proportional power ratio" mapping — each figure adds its own layout and styling:
Figure 1 (green/red neuron): the predecessor tree under a vectorized Fruchterman–Reingold force layout, with quadratic-Bézier curved edges for the organic loops and the longest root-to-leaf paths highlighted red.
Figure 2 (rainbow fan): a faithful line-for-line port of the Processing "Collatz Tree" sketch — fixed branch geometry, depth-cycled palette, green leaf dots. Deterministic, so essentially an exact match.
Figure 3 (purple/orange lobed tree): the same tree under the force layout to get the graphviz-neato look — central spine, lobes with white gaps, dark-red→plum→orange depth colouring. This one we corrected mid-project after you flagged that my first radial version filled the circle too uniformly.
Figure 4 (polar web): one long orbit (n = 670617279) plotted with θ = index in radians and r = power-ratio base 6, which produces the star/spoke pattern. Also deterministic and near-exact.