Seminars in Mathematical Sciences

Seminars in Mathematical Sciences

Seminars in the next week

Jul 21 (Tue)

14:00 MCS2068 StatLam Ho (Dalhousie University): Efficient Bayesian Methods for Detecting Trajectory Shifts in Stochastic Models of Infectious Disease

The trajectory of an infectious disease epidemic may change over time due to policy interventions, the emergence of new strains, or accumulating population immunity. In this talk, I will present our ongoing project on developing Efficient Bayesian Methods for Detecting Trajectory Shifts in Stochastic Models of Infectious Disease. A primary challenge of stochastic models is that likelihood calculations for prevalence count data have traditionally been considered computationally intractable, rendering these models difficult to scale for large outbreaks like the COVID-19 pandemic. To overcome this limitation, our method introduces a Poisson approximation scheme that significantly reduces computational cost. Crucially, we demonstrate that this approximation scheme preserves information, maintaining accuracy comparable to scenarios where the data are continuously observed.

Venue: MCS2068

15:00 MCS2068 StatDenise Lievesley (University of Oxford): Protecting the integrity of official statistics

Denise will draw on her experience as Director of Statistics in UNESCO, working in many countries of the world, and also on her more recent appointment to review the UK Statistical system, in order to discuss threats to the integrity of official statistics. She will talk about the various codes and principles which exist to protect the independence of the National Statistics Institutes and will consider how those of us outside of the public service can act as critical friends.

Venue: MCS2068

Click on title to see abstract.

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Current and Upcoming Events

These events are hosted in and/or organised by members of the Department (follow links for details):

Jul 13--17 [CG85] Duham Symposium: Metric Geometry, Analysis and Probability

Jul 17 [MCS2068] North-East and Midlands Stochastic Analysis Seminars

Speakers: Peng Xuhui, LI Xiangdong, Martin Rasmussen, Feng Zhaosheng.

Venue: MCS2068 at/from 11:00

Link: here

Sep 09--11 [tba] Durham Symposium: Mathematical Approaches to Spatial Biology

Upcoming Seminars by Series

Click on series to expand.

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• Amplitudes and Correlators

Contact: arthur.lipstein@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• Analysis and PDE

Usual Venue: MCS2068

Contact: yohance.a.osborne@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• Applied Mathematics

Usual Venue: MCS3070

Contact: andrew.krause@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• Arithmetic Study Group

Usual Venue: MCS2068

Contact: herbert.gangl@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• CPT Colloquium

Usual Venue: OC218

Contact: mohamed.anber@durham.ac.uk

For more information, see HERE.

No upcoming seminars have been scheduled (not unusual outside term time).

• Department Research Colloquium

Usual Venue: MCS0001

Contact: inaki.garcia-etxebarria@durham.ac.uk,sunil.chhita@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• Distinguished and Public Lectures

Usual Venue: MCS0001

Contact: alpar.r.meszaros@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• Education and Pedagogy

Usual Venue: MCS3052

Contact: andrew.krause@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

Usual Venue: MCS3070

Contact: daniel.n.disney@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• Geometry and Topology

Usual Venue: MCS2068

Contact: martin.p.kerin@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• HEP Journal Club

Usual Venue: MCS3070

Contact: mendel.t.nguyen@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• HEP Lunchtime

Usual Venue: MCS0001

Contact: p.e.dorey@durham.ac.uk,enrico.andriolo@durham.ac.uk,tobias.p.hansen@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• Probability

Usual Venue: MCS2068

Contact: tyler.helmuth@durham.ac.uk,oliver.kelsey-tough@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• Pure Maths Colloquium

Usual Venue: MCS2068

Contact: michael.r.magee@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

• Spectra and Moduli

Usual Venue: MCS3070

Contact: joe.thomas@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

Usual Venue: MCS2068

Contact: hyeyoung.maeng@durham.ac.uk,andrew.iskauskas@durham.ac.uk

Jul 21 14:00 Lam Ho (Dalhousie University): Efficient Bayesian Methods for Detecting Trajectory Shifts in Stochastic Models of Infectious Disease

The trajectory of an infectious disease epidemic may change over time due to policy interventions, the emergence of new strains, or accumulating population immunity. In this talk, I will present our ongoing project on developing Efficient Bayesian Methods for Detecting Trajectory Shifts in Stochastic Models of Infectious Disease. A primary challenge of stochastic models is that likelihood calculations for prevalence count data have traditionally been considered computationally intractable, rendering these models difficult to scale for large outbreaks like the COVID-19 pandemic. To overcome this limitation, our method introduces a Poisson approximation scheme that significantly reduces computational cost. Crucially, we demonstrate that this approximation scheme preserves information, maintaining accuracy comparable to scenarios where the data are continuously observed.

Venue: MCS2068

Jul 21 15:00 Denise Lievesley (University of Oxford): Protecting the integrity of official statistics

Denise will draw on her experience as Director of Statistics in UNESCO, working in many countries of the world, and also on her more recent appointment to review the UK Statistical system, in order to discuss threats to the integrity of official statistics. She will talk about the various codes and principles which exist to protect the independence of the National Statistics Institutes and will consider how those of us outside of the public service can act as critical friends.

Venue: MCS2068

• Stats4Grads

Contact: adam.stone2@durham.ac.uk

No upcoming seminars have been scheduled (not unusual outside term time).

Special Series

These link to some of the special events hosted by the Department:

• [LMS|EPSRC] Durham Symposia (from 1974)

• Collingwood Lectures (from 1984)