Introduction to Bayesian Analysis for Sensory & Consumer Scientists

Product code: J-BAYES-2019

Amsterdam

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  • 1 day face-to-face masterclass
  • Price includes all refreshments and lunch

In this one day course, we give you the understanding to the key concepts of these analysis methods, that need to be understood before a Bayesian study can be set-up. We give information on how to interpret and apply results of a Bayesian analysis to improve decision making ability and so maximising use of your data. Practicalities of taking this approach are also discussed. This course gives those unfamiliar with Bayesian methods the insight and confidence to decide whether Bayesian analysis could add something to their current data analysis methods.

Although the course is not software based, there are practical workshops to ensure the concepts are understood and the material remains engaging.

The workshop allows time to discuss typical statistics software packages used for Bayesian analysis and group discussions. At the end of the workshop, participants should have a good understanding of how Bayesian methods work and could be applied, in order that they can work with statisticians to ask the right questions and understand any outputs. (As specialist software is generally required and a thorough understanding of the statistical methods involved, this course does not teach how to carry out the analyses directly, although pointers are given.)

You will need a laptop to join in with the exercises in the workshop, or you can hire a machine for the day for an additional small fee.

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$676.78 – $817.37 (Excluding any applicable taxes)

Other course information

Discounts
We offer a 10% discount on registrations when two or more people from the same company register for the same course at the same time. We also offer a 10% discount for members of academia – please choose the appropriate option when purchasing.

Registration Policy
Registration is not final until payment is received. Unpaid spaces will be opened to new registrants 30 days ahead of courses. Virtual attendees must register and make payment at least 30 days before the start of the course to secure a virtual seat.

Payment
Payment can be made in GBP, EUR or USD. Please choose the appropriate currency when you checkout.

Refund policy
Cancellation of registration can be made up to 30 days ahead, and return of payments, minus reasonable administrative expenses, will be made for these cancellations. Cancellations within 15 to 30 days of the course start will receive a credit for a future course. Registrants who fail to attend or cancel less than 15 days prior to the seminar start date are responsible for the entire fee. Substitution of another person for the same course may be made at any time.

Course Cancellation
Qi Statistics Ltd retains the right to cancel the course 30 days before the start date if less than 4 delegates have registered by that date. Please do not book travel before this date.