I believe that most students are familiar with professional
journal and magazine. Reading journal or magazine could increase professional
knowledge and learn more news about particular field. For myself, I read a
journal named “Variational Inference of Linear Regression with Nonzero Prior
Means” in NDSU library database recently.
This is a professional journal in statistics field which is
my major. It consists with abstract, introduction, the linear regression model,
variational inference of the linear model, simulations and conclusions. The important
thing worth to mention that this journal is not really difficult to reading, I
think some beginners of statistic also could understand this journal. Now I am
going to introduce this interesting journal from the advantages and disadvantages.
Bayesian method and linear regression are the key word for
this journal, the model used in article is based on regression theorem. So even
I said this journal is not very difficult, the readers still need to know what
is the basic meaning of Bayes and linear regression before start reading.
This journal has many strong points. First of all, the vocabularies
could easily be understood for students especially undergraduate students. In
the previous time, vocabularies are not familiar with students in some of
journals I read is common. That means you have to read and check a lot of
additional material to support your reading. Reading other supporting books
while reading one journal makes me feel incoherent and I don’t like that. I
think you also don’t like that, do you? Secondly, graphs are important in
science professional journal and this journal did very well in this aspect. In
the simulation part, the authors used graphs to compare the efficiency of VLR-NZE
and VLR, the PD and FDR performance of VLR-NZE and VLR and the performance of
VLR-NZE and VLR. Part of prior mean of the nonzero coefficients in models are
known. You may feel confused when I talk about these compare performance, but
you could easily understand the meaning of this model and conclusion with
graphs in this journal. Lastly, the logic in this journal are strict and the
structure is rigorous. The writers explain the problem first, then they explain
the solution and conclusion step by step. I think this is significant important
in any science professional journal.
I recommend this journal to everyone who interesting in
statistics field, however, it still have some disadvantages. I think the
supporting quotations is too much. I know and understand professional journal
need use quotations, but the number of quotation in this journal is too much.
This makes me tired and whiny when I read it.
All in all, I have to say I really like this journal. If you
want to read some professional journal in statistics, I recommend this one to
you. Here is the like of this journal. I
am sure you will like it! Thanks for reading, enjoy the professional journal.
Journal Link:
I think you did a really good job in talking about the issue and giving examples. I think you could split up your really long paragraph a little bit though. This way the reader doesn't get bored. The set up of the blog is good and easy to follow while reading.
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