4 papers
4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients
Onthada Preedasawakul, Nathakhun Wiroonsri
Diabetes is one of the most prevalent diseases worldwide, characterized by persistently high blood sugar levels, capable of damaging various internal organs and systems. Diabetes p…
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering
Chutiphan Charoensuk, Nathakhun Wiroonsri
Time series clustering is an unsupervised learning method for classifying time series data into groups with similar behavior. It is used in applications such as healthcare, finance…
Normal approximation for associated point processes via Stein's method with applications to determinantal point processes
Nathakhun Wiroonsri
We use Stein's method to provide non asymptotic bounds to the normal for functionals of associated point processes. As for supporting tools, we use the connection between ass…
Stein's method using approximate zero bias couplings with applications to combinatorial central limit theorems under the Ewens distribution
Nathakhun Wiroonsri
We generalize the well-known zero bias distribution and the -Stein pair to an approximate zero bias distribution and an approximate -Stein pair, respectively. Berry Esseen…