SMS scnews item created by Linh Nghiem at Thu 24 Aug 2023 0901
Type: Seminar
Distribution: World
Expiry: 7 Sep 2023
Calendar1: 1 Sep 2023 1400-1500
CalTitle1: Directions old and new: Palaeomagnetism and Fisher meet modern statistics
Auth: linhn@110-174-229-71.tpgi.com.au (hngh7483) in SMS-SAML

Statistics Seminar

Directions old and new: Palaeomagnetism and Fisher meet modern statistics

Scealy

Next week, we will have two statistics seminars, one on Wednesday, August 30 and the other on Friday September 1. Both seminars are in the room Carslaw 157-257. This is the announcement for the second seminar on Friday.

Title: Directions old and new: Palaeomagnetism and Fisher meet modern statistics
Speaker: A/Prof Janice Scealy , Australian National University
Time and location: 2-3 PM Friday 1 Sep at Carslaw 157--257

Abstract: Most modern articles in the palaeomagnetism literature are based on statistics developed by Fisher's 1953 paper Dispersion on a sphere, which assumes independent and identically distributed (iid) spherical data. However, palaeomagnetic sample designs are usually hierarchical, where specimens are collected within sites and the data are then combined across sites to calculate an overall mean direction for a geological formation. The specimens within sites are typically more similar than specimens between different sites, and so the iid assumptions fail. We will first review, contrast and compare both the statistics and geophysics literature on the topic of analysis methods for clustered data on spheres. We will then present a new hierarchical parametric model, which avoids the unrealistic assumption of rotational symmetry in Fisher's 1953 paper Dispersion on a sphere and may be broadly useful in the analysis of many palaeomagnetic datasets. To help develop the model, we use publicly available data as a case study collected from the Golan Heights volcanic plateau. Next, we will explore different methods for constructing confidence regions for the overall mean direction based on clustered data. Two bootstrap confidence regions that we propose perform well and will be especially useful to geophysics practitioners.


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